KR100971434B1 - Ultrasound Systems and Methods for Processing Ultrasound Data - Google Patents

Abstract

Disclosed are an ultrasonic system and method for distinguishing linear and nonlinear operations and performing linear and nonlinear operations on ultrasound data. The system and method stores a mapping table providing linear operation information corresponding to each of a plurality of diagnostic modes for forming an ultrasound image in a storage unit, receiving a user command corresponding to selection of a diagnostic mode from a user, and receiving an ultrasound. Transmitting a signal to the object and receiving an ultrasound echo signal reflected from the object to obtain a plurality of ultrasound data, and forming a linear arithmetic matrix for linear operation on the plurality of ultrasound data using a mapping table according to a user command, Linear and nonlinear operations using a linear arithmetic matrix are performed on a plurality of ultrasound data.

Ultrasound, data processing, matrices, linear operations, nonlinear operations

Description

ULTRASOUND SYSTEM AND METHOD FOR PROCESSING ULTRASOUND DATA

The present invention relates to an ultrasonic system, and more particularly, to an ultrasonic system and a method for processing ultrasonic data by distinguishing a linear operation from a nonlinear operation.

Ultrasound systems have non-invasive and non-destructive properties and are widely used in the medical field for obtaining information inside an object. Ultrasound systems are very important in the medical field because they can provide a doctor with a high-resolution image of the internal tissue of a subject without the need for a surgical operation to directly incise and observe the subject.

Generally, an ultrasonic system includes an ultrasonic probe, a beam former, a data processor, a scan converter, and a display. The ultrasound probe transmits an ultrasound signal to the object and receives an ultrasound signal (that is, an ultrasound echo signal) reflected from the object to form a received signal. The ultrasonic probe includes at least one transducer element operable to mutually convert an ultrasonic signal and an electrical signal. The beamformer analog-to-digital converts the received signal provided from the ultrasonic probe, and then delays the digital signal in consideration of the position and focusing point of each conversion element, and adds the time-delayed digital signal to the ultrasonic data (that is, RF data). ). The data processor performs various data processing on the ultrasound data necessary to form the ultrasound image. The scan conversion unit performs a scan conversion on the ultrasound data so that the processed ultrasound data can be displayed on the display area of the display unit. The display unit displays the scan-converted ultrasound data on the screen as an ultrasound image.

Conventionally, a time gain compensation (TGG) process, a plurality of finite impulse response (FIR) filtering processes, a plurality of decimation processes, an in-phase / quadrature-phase (I / Q) data forming process, a compression process, and the like Data processing and scan conversion are sequentially performed on the ultrasonic data. As a result, not only it takes a long time to process a large amount of ultrasonic data, but also a problem that the frame rate is lowered.

The present invention provides an ultrasound system and method for performing linear and nonlinear arithmetic operations on ultrasound data by dividing data processing necessary for forming an ultrasound image into linear arithmetic processing and nonlinear arithmetic processing.

The present invention also provides an ultrasound system and method for performing linear arithmetic processing on ultrasound data using a matrix.

According to an aspect of the present invention, there is provided an ultrasound system including a storage unit configured to store a mapping table for providing linear operation information corresponding to each of a plurality of diagnostic modes for forming an ultrasound image; A user input unit operable to receive a user command corresponding to selection of a diagnosis mode from a user; An ultrasound data acquisition unit configured to transmit an ultrasound signal to an object and to receive a plurality of ultrasound data by receiving an ultrasound echo signal reflected from the object; And forming a linear arithmetic matrix for linear arithmetic on the plurality of ultrasonic data using the mapping table according to the user command, and performing linear and nonlinear arithmetic on the plurality of ultrasonic data using the linear arithmetic matrix. It includes a running processor.

In addition, the ultrasonic data processing method according to the present invention, a) storing a mapping table for providing linear operation information corresponding to each of a plurality of diagnostic modes for forming an ultrasound image in the storage unit; b) receiving a user command corresponding to selection of a diagnosis mode from a user; c) obtaining a plurality of ultrasound data by transmitting an ultrasound signal to an object and receiving an ultrasound echo signal reflected from the object; And d) forming a linear arithmetic matrix for linear arithmetic on the plurality of ultrasonic data using the mapping table according to the user command, and performing linear and nonlinear arithmetic operations using the linear arithmetic matrix on the plurality of ultrasonic data. Performing the steps.

According to the present invention, the linear operation and the nonlinear operation can be distinguished, and the linear operation performed on the ultrasonic data can be performed by one or two matrix operations, thereby improving the processing speed and the frame rate of the ultrasonic data. .

In addition, according to the present invention, the linear operation and the non-linear operation on the ultrasound data can be performed on the GPU, thereby improving the processing speed of the ultrasound data.

Hereinafter, exemplary embodiments of the present invention will be described with reference to the accompanying drawings. As used herein, the term "object" includes all of the reflector in the object, the medium around the reflector, and the like.

First embodiment

1 is a block diagram showing the configuration of an ultrasound system 100 according to a first embodiment of the present invention. The ultrasound system 100 may include a user input unit 110, an ultrasound data acquisition unit 120, a storage unit 130, a processor 140, a display unit 150, and a controller 160.

The user input unit 110 is implemented as a control panel, a mouse, a keyboard, and the like, and receives a user's command. In the present embodiment, the user command includes selecting a diagnosis mode for forming an ultrasound image of the object. The user command may include selection of an application representing an object of diagnosis of the object, selection of an ultrasound probe, and the like.

The ultrasound data obtaining unit 120 transmits an ultrasound signal to the object and receives a ultrasound signal (that is, an ultrasound echo signal) reflected from the object to obtain a plurality of ultrasound data.

2 is a block diagram showing the configuration of the ultrasonic data acquisition unit 120 according to the first embodiment of the present invention. The ultrasonic data acquisition unit 120 includes a transmission signal forming unit 121, an ultrasonic probe 122 including a plurality of transducer elements, a beam former 123, and an ultrasonic data forming unit 124. It includes.

The transmission signal forming unit 121 forms a plurality of transmission signals for obtaining a frame of the ultrasound image in consideration of the conversion element and the focal point of the ultrasound probe 122. The frame consists of multiple scan lines. In addition, the ultrasound image is a B-mode (brightness mode) image in which the reflection coefficient of the ultrasonic echo signal reflected from the object is a two-dimensional image, and the Doppler spectrum (doppler) of the speed of the moving object using the Doppler effect. D-mode (spectral) mode image, C-mode (color mode) image showing the speed of the moving object and the scatterer using the Doppler effect, and the medium without and without stress on the object. E-mode (elastic mode) image showing the mechanical response difference of the image and 3D (3 dimentional) mode image showing the reflection coefficient of the ultrasonic echo signal reflected from the object as a three-dimensional image.

The ultrasound probe 122 converts the transmission signal provided from the transmission signal forming unit 121 into an ultrasound signal, transmits the ultrasound signal to the object, and receives the ultrasound echo signal reflected from the object to form a reception signal. The ultrasonic probe 122 repeatedly transmits and receives an ultrasonic signal using a plurality of transmission signals provided from the transmission signal forming unit 121 to form a plurality of reception signals. In the present embodiment, the ultrasound probe 122 includes a convex probe, a linear probe, a 3D probe, a trapezoidal probe, an intravascular ultrasound probe, and the like. It can be implemented as.

The beam former 123 analog-to-digital converts a plurality of received signals provided from the ultrasonic probe 122. In addition, the beam former 123 receives and focuses a plurality of digitally converted received signals to form a plurality of digital receiving focused beams in consideration of the position and focusing point of the conversion element of the ultrasonic probe 122. In this embodiment, the beamformer 123 may be implemented as a field programmable gate array (FPGA) or an application specific integrated circuit (ASIC) to improve the processing speed of the received signal.

The ultrasonic data forming unit 124 forms a plurality of ultrasonic data using a plurality of digital receiving focused beams provided from the beam former 123. The ultrasound data includes radio frequency (RF) data including position information of each of a plurality of scan lines, position information of sampling points of each of a plurality of scan lines, data at a sampling point, and the like.

Referring back to FIG. 1, the storage unit 130 stores a plurality of ultrasound data provided by the ultrasound data acquisition unit 120 for each frame. In addition, the storage unit 130 stores information on a plurality of linear operations (hereinafter, referred to as linear operation information) performed on a plurality of ultrasound data to form an ultrasound image for each diagnostic mode. Linear operations include time gain compensation (TGG) processing, decimation processing to adjust the amount of ultrasonic data, and quadrature mixers to form in-phase / quadrature-phase (I / Q) data. Processing, finite impulse response (FIR) filter processing, clutter filter processing, fast Fourier transform (FFT) processing, scan conversion and interpolation processing, rendering processing, and the like. The linear arithmetic information includes TGC parameters (ie gain parameters) for TGC processing, decimation parameters for decimation processing, orthogonal mixer parameters for quadrature mixer processing, FIR filter parameters for FIR filter processing, and clutter filter processing. Clutter filter parameters, FFT parameters for FFT processing, scan conversion parameters for scan conversion and interpolation processing, rendering parameters for rendering processing, and the like. As an example, the storage unit 130 stores a mapping table that provides linear operation information corresponding to each of the plurality of diagnostic modes as shown in the following table.

Diagnostic mode Linear operation information B-mode TGC parameters, decimation parameters, quadrature mixer parameters, FIR filter parameters, scan conversion parameters D-mode TGC parameters, decimation parameters, quadrature mixer parameters, FIR filter parameters, clutter filter parameters, FFT parameters, scan conversion parameters C-mode TGC parameters, decimation parameters, quadrature mixer parameters, FIR filter parameters, clutter filter parameters, scan conversion parameters E-mode TGC parameters, decimation parameters, quadrature mixer parameters, FIR filter parameters, scan conversion parameters 3D mode TGC parameters, decimation parameters, quadrature mixer parameters, FIR filter parameters, rendering parameters

In the present exemplary embodiment, the storage unit 130 includes a first storage unit (not shown) for storing a plurality of ultrasound data per frame and a second storage unit (not shown) for storing a mapping table.

The processor 140 may perform a linear operation on a plurality of ultrasound data using a mapping table stored in the storage 130 according to a user command from the user input unit 110 (hereinafter, referred to as a linear arithmetic matrix). To form. In addition, the processor 140 performs a linear operation and a nonlinear operation using a linear operation matrix on a plurality of ultrasound data. In this case, the nonlinear operation includes an envelope detection process, a compression process, an auto correlation process, an arc tangent process, a minimum mean square process, a differential process, and the like. In the present embodiment, the processor 140 may be implemented by any one of a central processing unit (CPU), an FPGA, an ASIC, and a digital signal processing chip (DSP).

3 is a block diagram showing the configuration of the processor 140 according to the first embodiment of the present invention. The processor 140 may include an ultrasonic data matrix forming unit 141, a first linear arithmetic matrix forming unit 142, a first linear arithmetic unit 143, a nonlinear arithmetic unit 144, a second linear arithmetic matrix forming unit 145, and The second linear calculation unit 146 is included.

The ultrasound data matrix forming unit 141 forms an ultrasound data matrix (hereinafter, referred to as a first ultrasound data matrix) using a plurality of ultrasound data. Here, the ultrasound data may be ultrasound data provided from the ultrasound data acquirer 120 or ultrasound data stored in the storage 130. Meanwhile, the first ultrasound data matrix has a size of the number of sampling points x the number of scan lines.

The first linear arithmetic matrix forming unit 142 extracts first linear arithmetic information corresponding to a user command (ie, selection of a diagnostic mode) provided from the user input unit 110 from a mapping table stored in the storage unit 130. The first linear arithmetic matrix is formed using the extracted first linear arithmetic information. As an example, when the user command is a selection of the B-mode, the first linear arithmetic matrix forming unit 142 may include the first linear arithmetic information corresponding to the user command, that is, the TGC parameter, in the mapping table stored in the storage 130. Extract decimation parameters, FIR filter parameters and quadrature mixer parameters. The first linear arithmetic matrix forming unit 142 forms a TGC matrix, a plurality of decimation matrices, a plurality of FIR filter matrices, and an orthogonal mixer matrix using the extracted parameters.

In the present embodiment, the TGC matrix, the decimation matrix, the FIR filter matrix, and the quadrature mixer matrix may be represented as follows. In this case, the size of the matrix may be changed in consideration of the screen resolution of the display unit 150.

① TGC matrix can be represented as diagonal matrix as below.

(g_i는 TGC 파라미터, s는 샘플링 점 개수)

(g _i is the TGC parameter, s is the number of sampling points)

② The decimation matrix may be expressed as a matrix in which rows corresponding to integer multiples of the decimation rate are removed from the unit matrix as follows. At this time, the size of the matrix is the number of sampling points after decimation x the number of sampling points before decimation.

(데시메이션 율이 2인 경우)

(When decimation rate is 2)

(데시메이션 율이 3인 경우)

(When decimation rate is 3)

③ The FIR filter matrix may be represented by a square band matrix having a bandwidth corresponding to the number of taps as follows.

(f_i는 FIR 필터 파라미터)

(f _i is FIR filter parameter)

(4) The orthogonal mixer matrix can be represented by the diagonal matrix as shown below.

(q_i는 직교 믹서 파라미터, s는 데시메이션 전또는 후의 샘플링 점 개수)

(q _i is the orthogonal mixer parameter, s is the number of sampling points before or after decimation)

The first linear arithmetic matrix forming unit 142 linearly operates (ie, matrix arithmetic) the TGC matrix, a plurality of decimation matrices, a plurality of FIR filter matrices, and an orthogonal mixer matrix to form a first linear arithmetic matrix.

As another example, when the user command is the selection of the D-mode, the first linear arithmetic matrix forming unit 142 may include the first linear arithmetic information corresponding to the user command, that is, the TGC parameter in the mapping table stored in the storage 130. Extract decimation parameters, FIR filter parameters, quadrature mixer parameters, clutter filter parameters, and FFT parameters. The first linear arithmetic matrix forming unit 142 forms a TGC matrix, a plurality of decimation matrices, a plurality of FIR filter matrices, an orthogonal mixer matrix, a clutter filter matrix, and an FFT matrix using the extracted parameters. In the present embodiment, the clutter filter matrix and the FFT matrix may be represented as follows. In this case, the size of the matrix may be changed in consideration of the screen resolution of the display unit 150.

① The clutter filter matrix may be represented as a Toeplitz matrix representing an IIR filter as shown below.

(ki는 클러터 필터 파라메터)

(ki is the clutter filter parameter)

② The FFT matrix can be represented by the following matrix.

The first linear arithmetic matrix forming unit 142 matrix-operates a TGC matrix, a plurality of decimation matrices, a plurality of FIR filter matrices, an orthogonal mixer matrix, a clutter filter matrix, and an FFT matrix to form a first linear arithmetic matrix.

As another example, when the user command is the selection of the C-mode, the first linear arithmetic matrix forming unit 142 may include the first linear arithmetic information corresponding to the user command, that is, the TGC in the mapping table stored in the storage 130. Extract parameters, decimation parameters, FIR filter parameters, quadrature mixer parameters, and clutter filter parameters. The first linear arithmetic matrix forming unit 142 forms a TGC matrix, a plurality of decimation matrices, a plurality of FIR filter matrices, an orthogonal mixer matrix, and a clutter filter matrix using the extracted parameters. The first linear arithmetic matrix forming unit 142 performs a matrix operation on the TGC matrix, a plurality of decimation matrices, a plurality of FIR filter matrices, an orthogonal mixer matrix, and a clutter filter matrix to form a first linear arithmetic matrix. Here, the clutter filter matrix in the C-mode may be represented as a matrix having a size corresponding to an ensemble number or a packet number as follows.

(n은 앙상블 넘버)

(n is the ensemble number)

In the above examples, the case where the user command is the selection of the B-mode, the D-mode, or the C-mode has been described, but is not limited thereto. It will be appreciated that it is possible to form a first linear arithmetic matrix.

The first linear operation unit 143 linearly operates the first ultrasonic data matrix provided from the ultrasonic data matrix forming unit 141 and the first linear operation matrix provided from the first linear operation matrix forming unit 142 (that is, the matrix). To output the second ultrasonic data matrix. For example, the first linear calculator 143 performs a matrix operation B × A on the first ultrasound data matrix A and the first linear math matrix B, thereby performing a second ultrasound data matrix C = B. × A) is output.

The nonlinear operator 144 performs a nonlinear operation corresponding to a user command from the user input unit 110 on a plurality of ultrasound data of the second ultrasound data matrix provided from the first linear operator 143 to generate a third ultrasound data matrix. Output As an example, when the user command is a selection of the B-mode or the 3D mode, the nonlinear operation unit 144 performs an envelope detection process and a compression process on the plurality of ultrasound data of the second ultrasound data matrix to output the third ultrasound data matrix. do. As another example, when the user command is the selection of the D-mode, the nonlinear operation unit 144 performs a compression process on the plurality of ultrasound data of the second ultrasound data matrix to output the third ultrasound data matrix. As another example, when the user command is a C-mode selection, the nonlinear operation unit 144 outputs a third ultrasonic data matrix by performing autocorrelation and arc tangent processing on a plurality of ultrasonic data of the second ultrasonic data matrix. do. As another example, when the user command is the selection of the E-mode, the nonlinear operation unit 144 performs the autocorrelation process, the minimum mean square process, and the derivative process on the plurality of ultrasound data of the second ultrasound data matrix to perform the third ultrasound. Output the data matrix.

The second linear arithmetic matrix forming unit 145 extracts second linear arithmetic information corresponding to a user command from the user input unit 110 from a mapping table stored in the storage 130, and extracts the extracted second linear arithmetic information. To form a second linear arithmetic matrix. As an example, when the user command is a selection of any one of B-mode, D-mode, C-mode, and E-mode, the second linear arithmetic matrix forming unit 145 is configured in the mapping table stored in the storage unit 130. The second linear arithmetic information corresponding to the user command, that is, the scan transform parameter is extracted, and a second linear arithmetic matrix for performing scan transform and interpolation is formed using the extracted scan transform parameter. Here, the second linear arithmetic matrix may be represented as a matrix considering geometry of the ultrasonic probe as follows.

As another example, when the user command is a 3D mode selection, the second linear arithmetic matrix forming unit 145 may select second linear arithmetic information corresponding to the user command, that is, a rendering parameter, from a mapping table stored in the storage 130. Extraction, and using the extracted rendering parameters to form a second linear arithmetic matrix for performing rendering.

The second linear operator 146 performs a linear operation (ie, matrix operation) on the third ultrasonic data matrix provided from the nonlinear operator 144 and the second linear operator matrix provided from the second linear operator matrix forming unit 145. To perform. That is, the second linear operator 146 performs a matrix operation D × C of the third ultrasound data matrix C and the second linear operation matrix D. FIG.

Referring back to FIG. 1, the display unit 150 displays a plurality of ultrasound data linearly and nonlinearly calculated by the processor 140 as ultrasound images on a screen.

The controller 160 controls the transmission and reception of the ultrasound signal according to a user command from the user input unit 110, and controls the formation of the ultrasound data, the linear operation, and the nonlinear operation. In addition, the controller 160 controls the display of the ultrasound image.

In the above-described embodiment, it has been described that the first linear operation is performed on the first ultrasound data matrix, the nonlinear operation is performed, and the second linear operation is performed, but the present invention is not limited thereto. In another embodiment, a nonlinear operation may be performed after performing the first linear operation and the second linear operation on the first ultrasound data matrix. In another embodiment, after performing a nonlinear operation on the first ultrasound data matrix, the first linear operation and the second linear operation may be performed.

In addition, in the above-described embodiment, the second linear arithmetic matrix forming unit 145 forms a second linear arithmetic matrix which performs scan transformation on the ultrasonic data matrix in the column direction of the ultrasonic data matrix, and the second linear arithmetic unit 146 ) Has been described as performing the linear operation of the ultrasonic data matrix and the second linear arithmetic matrix in the column direction of the ultrasonic data matrix, but in another embodiment, the second linear arithmetic matrix forming unit 145 performs ultrasonic data on the ultrasonic data matrix. A second linear arithmetic matrix may be formed to perform scan transformation in the row direction of the matrix, and the second linear arithmetic unit 146 may perform linear arithmetic operations on the ultrasonic data matrix and the second linear arithmetic matrix in the row direction of the ultrasonic data matrix. have. In this case, the second linear arithmetic matrix performing scan conversion in the row direction of the ultrasonic data matrix may be represented by a matrix as follows.

Second embodiment

4 is a block diagram showing the configuration of an ultrasound system 200 according to a second embodiment of the present invention. The ultrasound system 200 includes a user input unit 210, an ultrasound data acquisition unit 220, a storage unit 230, a processor 240, a display unit 250, and a controller 260.

The user input unit 210 is implemented as a control panel, a mouse, a keyboard, and the like, and receives a user's command. The user command is the same as the user command in the first embodiment and will not be described in detail.

The ultrasound data obtaining unit 220 transmits an ultrasound signal to the object and receives a ultrasound echo signal reflected from the object to obtain a plurality of ultrasound data. The ultrasonic data acquisition unit 220 in the present embodiment is the same as the ultrasonic data acquisition unit 120 in the first embodiment and thus will not be described in detail.

The storage unit 230 stores a plurality of ultrasound data provided by the ultrasound data acquisition unit 220 for each frame. In addition, the storage unit 230 stores linear operation information regarding a plurality of linear operations performed on a plurality of ultrasound data to form an ultrasound image for each diagnostic mode. That is, the storage unit 230 stores a mapping table that provides linear operation information corresponding to each of the plurality of diagnostic modes. Since the linear arithmetic and linear arithmetic information in the present embodiment are the same as the linear arithmetic and linear arithmetic information in the first embodiment, they will not be described in detail. In the present exemplary embodiment, the storage unit 230 includes a first storage unit (not shown) for storing a plurality of ultrasound data and a second storage unit (not shown) for storing a mapping table.

The processor 240 forms a linear arithmetic matrix for performing a linear operation on a plurality of ultrasound data using a mapping table stored in the storage 230 according to a user command from the user input unit 210. In addition, the processor 240 performs a linear operation and a nonlinear operation using a linear operation matrix on a plurality of ultrasound data. Since the nonlinear operation in this embodiment is the same as the nonlinear operation in the first embodiment, it will not be described in detail. In the present embodiment, the processor 240 may be implemented by any one of a CPU, an FPGA, an ASIC, and a DSP chip.

5 is a block diagram showing the configuration of the processor 240 according to the second embodiment of the present invention. The processor 240 includes an ultrasonic data matrix forming unit 241, a linear arithmetic matrix forming unit 242, a linear calculating unit 243, and a nonlinear calculating unit 244.

The ultrasonic data matrix forming unit 241 forms a first ultrasonic data matrix using a plurality of ultrasonic data. Here, the ultrasound data may be ultrasound data provided from the ultrasound data acquirer 220 or ultrasound data stored in the storage 230. Meanwhile, the first ultrasound data matrix has a size of the number of sampling points x the number of scan lines.

The linear arithmetic matrix forming unit 242 extracts linear arithmetic information corresponding to a user command from the user input unit 210 from a mapping table stored in the storage unit 230 and generates a linear arithmetic matrix using the extracted linear arithmetic information. Form. As an example, when the user command is a selection of the B-mode, the linear arithmetic matrix forming unit 242 may include linear arithmetic information corresponding to the user command in the mapping table stored in the storage 230, that is, TGC parameter, decimation parameter, Extract the FIR filter parameters, quadrature mixer parameters, and scan transform parameters. The linear arithmetic matrix forming unit 242 forms a TGC matrix, a plurality of decimation matrices, a plurality of FIR filter matrices, an orthogonal mixer matrix, and a scan transform matrix using the extracted parameters. The TGC matrix, plural decimation matrices, plural FIR filter matrices and orthogonal mixer matrices in this embodiment are the same as the TGC matrix, plural decimation matrices, plural FIR filter matrices and orthogonal mixer matrices in the first embodiment. In addition, since the scan conversion matrix of this embodiment is the same as the second linear arithmetic matrix in the first embodiment, it will not be described in detail. The linear arithmetic matrix forming unit 242 linearly operates (ie, matrix arithmetic) the TGC matrix, the plurality of decimation matrices, the plurality of FIR filter matrices, the orthogonal mixer matrix, and the scan transform matrix to form a linear arithmetic matrix.

As another example, when the user command is the selection of the D-mode, the linear arithmetic matrix forming unit 242 may perform linear operation information corresponding to the user command in the mapping table stored in the storage 230, that is, TGC parameters and decimation parameters. Extract the FIR filter parameters, quadrature mixer parameters, clutter filter parameters, FFT parameters, and scan conversion parameters. The linear arithmetic matrix forming unit 242 forms a TGC matrix, a plurality of decimation matrices, a plurality of FIR filter matrices, an orthogonal mixer matrix, a clutter filter matrix, an FFT matrix, and a scan transform matrix using the extracted parameters. Since the clutter filter matrix and the FFT matrix in this embodiment are the same as the clutter filter matrix and the FFT matrix in the first embodiment, they will not be described in detail. The linear arithmetic matrix forming unit 242 performs a linear operation (ie, matrix operation) on a TGC matrix, a plurality of decimation matrices, a plurality of FIR filter matrices, an orthogonal mixer matrix, a clutter filter matrix, an FFT matrix, and a scan transformation matrix. Form an arithmetic matrix.

In the above examples, forming a linear arithmetic matrix when the user command is the selection of the B-mode or the D-mode has been described, but is not limited to this. It will be appreciated that even in the case of selection of any one of the diagnostic modes, a linear arithmetic matrix can be formed as described above.

The linear operation unit 243 linearly performs a linear operation matrix provided from the first ultrasound data matrix provided from the ultrasonic data matrix forming unit 241 and the linear operation matrix forming unit 242. That is, the linear calculator 243 performs a matrix operation F × E of the first ultrasound data matrix E and the linear calculation matrix F to output the second ultrasound data matrix G = F × E.

The nonlinear operator 244 performs a nonlinear operation on a plurality of ultrasound data of the second ultrasound data matrix provided from the linear operation processor 243. As an example, when the user command is one of the B-mode or the 3D mode, the nonlinear operator 244 performs an envelope detection process and a compression process on the plurality of ultrasound data of the second ultrasound data matrix. As another example, when the user command is the selection of the D-mode, the nonlinear operation unit 244 performs a compression process on the plurality of ultrasound data of the second ultrasound data matrix. As another example, when the user command is a C-mode, the nonlinear operator 244 performs autocorrelation and arc tangent processing on a plurality of ultrasound data of the second ultrasound data matrix. As another example, when the user command is in the E-mode, the nonlinear operation processing unit 244 performs autocorrelation, minimum mean square processing, and derivative processing on the ultrasonic data of the second ultrasonic data matrix.

Although the above-described embodiment has been described as performing a nonlinear operation after performing a linear operation on the ultrasound data matrix, in another embodiment, a linear operation may be performed after performing a nonlinear operation on the ultrasound data matrix.

Referring back to FIG. 4, the display unit 250 displays a plurality of pieces of ultrasound data linearly and nonlinearly calculated by the processor 240 as ultrasound images on a screen.

The controller 260 controls the transmission and reception of the ultrasound signal according to a user command from the user input unit 210, and controls the formation of the ultrasound data, the linear operation, and the nonlinear operation. In addition, the controller 260 controls the display of the ultrasound image.

Third embodiment

6 is a block diagram showing the configuration of an ultrasound system 300 according to a third embodiment of the present invention. The ultrasound system 300 includes a user input unit 310, an ultrasound data acquisition unit 320, a storage unit 330, a processor 340, a display unit 350, and a controller 360.

The user input unit 310 is implemented as a control panel, a mouse, a keyboard, and the like, and receives a user's command. The user command in this embodiment is the same as the user command in the first embodiment and thus will not be described in detail.

The ultrasound data acquisition unit 320 transmits an ultrasound signal to the object and receives the ultrasound echo signal reflected from the object to obtain a plurality of ultrasound data. The ultrasonic data acquisition unit 320 in the present embodiment is the same as the ultrasonic data acquisition unit 120 in the first embodiment and thus will not be described in detail.

The storage unit 330 stores a plurality of ultrasonic data provided by the ultrasonic data acquisition unit 320 for each frame. In addition, the storage unit 330 stores linear operation information regarding a plurality of linear operations performed on a plurality of ultrasound data to form an ultrasound image for each diagnostic mode. Linear operations include time gain compensation (TGG) processing, decimation processing to adjust the amount of ultrasonic data, and quadrature mixer processing to form in-phase / quadrature-phase (I / Q) data. , Finite impulse response (FIR) filter processing, clutter filter processing, fast Fourier transform (FFT) processing, and the like. In addition, the linear operation information includes TGC parameters (ie, gain parameters) for TGC processing, decimation parameters for decimation processing, orthogonal mixer parameters for orthogonal mixer processing, FIR filter parameters for FIR filter processing, and clutter filter processing. Clutter filter parameters for FFT parameters, and FFT parameters for FFT processing. As an example, the storage unit 330 stores a mapping table that provides linear operation information corresponding to each of the plurality of diagnostic modes as shown in the following table.

Diagnostic mode Linear operation information B-mode TGC parameters, decimation parameters, quadrature mixer parameters, FIR filter parameters D-mode TGC parameters, decimation parameters, quadrature mixer parameters, FIR filter parameters, clutter filter parameters, FFT parameters C-mode TGC parameters, decimation parameters, quadrature mixer parameters, FIR filter parameters, clutter filter parameters E-mode TGC parameters, decimation parameters, quadrature mixer parameters, FIR filter parameters 3D mode TGC parameters, decimation parameters, quadrature mixer parameters, FIR filter parameters

In the present embodiment, the storage unit 330 includes a first storage unit (not shown) for storing a plurality of ultrasound data per frame and a second storage unit (not shown) for storing a mapping table.

The processor 340 according to a user command from the user input unit 310, a matrix for performing a linear operation on a plurality of ultrasound data using a mapping table stored in the storage unit 330 (hereinafter referred to as a linear arithmetic matrix). And perform linear and nonlinear operations using a linear arithmetic matrix on a plurality of ultrasound data, and perform scan transformation or rendering on a plurality of linear and nonlinear a plurality of ultrasound data. Since the nonlinear operation in this embodiment is the same as the nonlinear operation in the first embodiment, it will not be described in detail. In this embodiment, the processor 340 includes a first processor 341 and a second processor 342.

The first processor 341 is implemented by any one of a CPU, an FPGA, an ASIC, and a DSP chip to form an ultrasound data matrix using a plurality of ultrasound data, and perform linear and nonlinear operations on the ultrasound data matrix.

7 is a block diagram showing the configuration of a first processor 341 according to the third embodiment of the present invention. The first processor 341 includes an ultrasonic data matrix forming unit 341a, a linear arithmetic matrix forming unit 341b, a linear calculating unit 341c, and a nonlinear calculating unit 341d.

The ultrasonic data matrix forming unit 341a forms a first ultrasonic data matrix using a plurality of ultrasonic data. Here, the ultrasound data may be ultrasound data provided from the ultrasound data acquirer 320 or ultrasound data stored in the storage 330. Meanwhile, the first ultrasound data matrix has a size of the number of sampling points x the number of scan lines.

The linear arithmetic matrix forming unit 341b extracts linear arithmetic information corresponding to a user command from the user input unit 310 from a mapping table stored in the storage unit 330, and generates a linear arithmetic matrix using the extracted linear arithmetic information. Form. As an example, when the user command is the selection of the B-mode, the linear arithmetic matrix forming unit 341b may include linear arithmetic information corresponding to the user command in the mapping table stored in the storage unit 330, that is, TGC parameter, decimation parameter, Extract the FIR filter parameters and quadrature mixer parameters. The linear operation matrix forming unit 341b forms a TGC matrix, a plurality of decimation matrices, a plurality of FIR filter matrices, and an orthogonal mixer matrix using the extracted parameters. The TGC matrix, plural decimation matrices, plural FIR filter matrices and orthogonal mixer matrices in this embodiment are the same as the TGC matrix, plural decimation matrices, plural FIR filter matrices and orthogonal mixer matrices in the first embodiment. Therefore, it will not be described in detail. The linear arithmetic matrix forming unit 341b performs a linear operation (ie, matrix operation) on the TGC matrix, the plurality of decimation matrices, the plurality of FIR filter matrices, and the quadrature mixer matrix to form a linear arithmetic matrix.

As another example, when the user command is the selection of the D-mode, the linear arithmetic matrix forming unit 341b may include linear arithmetic information corresponding to the user command in the mapping table stored in the storage unit 330, that is, TGC parameters and decimation parameters. Extract FIR filter parameters, quadrature mixer parameters, clutter filter parameters, and FFT parameters. The linear arithmetic matrix forming unit 341b forms a TGC matrix, a plurality of decimation matrices, a plurality of FIR filter matrices, an orthogonal mixer matrix, a clutter filter matrix, and an FFT matrix using the extracted parameters. Since the clutter filter matrix and the FFT matrix in this embodiment are the same as the clutter filter matrix and the FFT matrix in the first embodiment, they will not be described in detail. The linear arithmetic matrix forming unit 341b forms a linear arithmetic matrix by performing a linear operation (that is, matrix operation) on the TGC matrix, the plurality of decimation matrices, the plurality of FIR filter matrices, the quadrature mixer matrix, the clutter filter matrix, and the FFT matrix. do.

In the above examples, it has been described as forming a linear arithmetic matrix when the user command is a selection of B-mode or D-mode, but the present invention is not limited thereto. It will be appreciated that even in the case of selection of either diagnostic mode, a linear arithmetic matrix can be formed as described above.

The linear operation unit 341c linearly performs a first ultrasound data matrix provided from the ultrasound data matrix forming unit 341a and a linear operation matrix provided from the linear operation matrix forming unit 341b and outputs a second ultrasound data matrix. That is, the linear calculator 341c performs a matrix operation (F × E) of the ultrasonic data matrix G and the linear operation matrix F to output the second ultrasonic data matrix.

The nonlinear operator 341d performs a nonlinear operation corresponding to the user command from the user input 310 to the second ultrasound data matrix provided from the linear operator 341c. As an example, when the user command is a selection of the B-mode or the 3D mode, the nonlinear calculator 341d performs an envelope detection process and a compression process on a plurality of ultrasound data of the second ultrasound data matrix. As another example, when the user command is the selection of the D-mode, the nonlinear operation unit 341d performs compression processing on the ultrasound data of the second ultrasound data matrix. As another example, when the user command is the C-mode, the nonlinear operation unit 341d performs autocorrelation and arc tangent processing on the ultrasound data of the second ultrasound data matrix. As another example, when the user command is in the E-mode, the nonlinear operation processor 341d performs autocorrelation, minimum mean square processing, and derivative processing on a plurality of ultrasound data of the second ultrasound data matrix.

Although the above-described embodiment has been described as performing a nonlinear operation after performing a linear operation on the ultrasound data matrix, in another embodiment, a linear operation may be performed after performing a nonlinear operation on the ultrasound data matrix.

Referring back to FIG. 6, the second processor 342 is implemented as a GPU to perform data processing on a plurality of pieces of ultrasonic data that are linearly and nonlinearly calculated according to a user command from the user input unit 310. In this embodiment, the data processing includes either scan conversion or rendering.

8 is a block diagram showing the configuration of a second processor 342 according to the third embodiment of the present invention. The second processor 342 includes a video memory 342a, a vertex initializer 342b, a texture data forming unit 342c, a data uploader 342d, and a data processor 342e.

The video memory 342a includes a plurality of storage areas including a pixel data storage area corresponding to each of the plurality of pixels of the screen of the display 350. That is, each pixel data formed by the second processor 342 is stored in the corresponding storage area of the video memory 342a and displayed on the screen of the display 350. Therefore, the required capacity of the video memory 342a depends on the number of pixels and the data format according to the diagnostic mode. For example, the minimum video memory capacity required to represent an 640 × 480 pixel ultrasound image in 8 bit mode is 640 × 480 × 8 bits. The data format depends on the diagnostic mode. For example, the B-mode has an 8 bit data format and the C-mode has a 16 bit data format.

When a plurality of ultrasound data are input from the first processor 341, the vertex initialization unit 342b uses a plurality of vertexts according to a user command (ie, selection of a diagnostic mode) from the user input unit 310. On the screen of the display unit 350, vertex information for initializing a position where an ultrasound image is to be displayed is formed. The vertex initializer 342b may be implemented by a 3D application programming interface (API). Referring to FIG. 9, when a B-mode image is formed, the vertex initialization unit 342b forms vertex information for initializing positions of the vertices V1, V2, V3, and V4 constituting the B-mode image. The number of vertices shown in FIG. 9 is exemplary only, and may actually form dozens of vertices.

In order to upload the ultrasound image to the video memory 342a, a texture of 3D graphic format must be used. The texture data forming unit 342c may generate the vertex information A and the vertex information A formed in the vertex initialization unit 342b as illustrated in FIG. 10 according to a user command (ie, selection of a diagnosis mode) from the user input unit 310. In one processor 341, the plurality of pieces of ultrasonic data B, which are linear and nonlinear, are combined to form the texture data C. FIG. For example, when forming a B-mode image having an 8-bit data format using DirectX, when forming "D3DFMT_L8" texture data, which is an 8-bit-only format, and forming a 16-bit C-mode image, D3DFMT_R5G6B5 "forms texture data. The texture format may vary depending on the 3D API.

The data uploader 342d analyzes a user command from the user input unit 310 and allocates a storage area of the video memory 342a according to a data format of a diagnostic mode corresponding to the user command. At this time, the storage area allocated to the video memory 342a is a storage area for storing texture data and code data (shader code, filter shader code, color palette data (in case of C-mode)) for performing a function of the GPU. And a storage area for storing the data. In addition, the data uploading unit 342d uploads the texture data and the code data provided from the texture data forming unit 342c to the corresponding storage area of the video memory 342a.

The data processor 342e performs data processing (scan conversion or rendering) on the texture data by using the shader code uploaded to the video memory 342a according to a user command from the user input unit 310. The data processor 342e performs pixel filtering to apply a filter shader code to the processed texture data to form pixel data. Pixel data is stored in a designated area of video memory 342a.

Referring back to FIG. 6, the display 350 displays a plurality of pieces of ultrasound data linearly and nonlinearly calculated by the processor 340 on the screen as ultrasound images. That is, the display 350 displays the pixel data formed by the second processor 342 on the screen as an ultrasound image.

The controller 360 controls the transmission and reception of the ultrasound signal according to a user command from the user input unit 310, and controls the formation of the ultrasound data, the linear operation, and the nonlinear operation. In addition, the controller 360 controls the display of the ultrasound image.

Fourth embodiment

11 is a block diagram showing the configuration of an ultrasound system 100 according to a fourth embodiment of the present invention. The ultrasound system 400 includes a user input unit 410, an ultrasound data acquisition unit 420, a storage unit 430, a processor 440, a display unit 450, and a controller 460.

The user input unit 410 is implemented as a control panel, a mouse, a keyboard, and the like, and receives a user's command. The user command in this embodiment is the same as the user input in the first embodiment and thus will not be described in detail.

The ultrasound data acquisition unit 420 transmits an ultrasound signal to the object and receives a ultrasound echo signal reflected from the object to obtain a plurality of ultrasound data. The ultrasonic data acquisition unit 420 in the present embodiment is the same as the ultrasonic data acquisition unit 120 in the first embodiment and thus will not be described in detail.

The storage unit 430 stores a plurality of ultrasound data provided by the ultrasound data acquisition unit 420 for each frame. In addition, the storage unit 430 stores linear operation information regarding a plurality of linear operations performed on a plurality of ultrasound data to form an ultrasound image for each diagnostic mode. That is, the storage unit 430 stores a mapping table that provides linear operation information corresponding to each of the plurality of diagnostic modes. Since the linear arithmetic and linear arithmetic information in the present embodiment are the same as the linear arithmetic and linear arithmetic information in the third embodiment, they will not be described in detail. In this embodiment, the storage unit 430 includes a first storage unit (not shown) for storing a plurality of ultrasound data and a second storage unit (not shown) for storing a mapping table.

The processor 440 performs a linear operation on a plurality of ultrasound data using a mapping table stored in the storage unit 430 according to a user command from the user input unit 410 (hereinafter referred to as a linear operation matrix). And perform linear and nonlinear operations using a linear arithmetic matrix on a plurality of ultrasound data, and perform scan transformation or rendering on a plurality of linear and nonlinear a plurality of ultrasound data. Since the nonlinear operation in this embodiment is the same as the nonlinear operation in the first embodiment, it will not be described in detail. In this embodiment, the processor 440 includes a first processor 441, a second processor 442, and a third processor 443.

The first processor 441 is implemented by a GPU to form an ultrasonic data matrix using a plurality of ultrasonic data, and linear operation corresponding to a user command from the user input unit 410 in a mapping table stored in the storage unit 430. By using the information to form a linear arithmetic matrix for performing a linear operation on the ultrasonic data matrix.

12 is a block diagram showing a configuration of a first processor 441 according to a fourth embodiment of the present invention. The first processor 441 includes a video memory 441a, a matrix initialization unit 441b, a texture data forming unit 411c, a data uploading unit 441d, and a matrix forming unit 441e.

The video memory 441a includes a plurality of storage areas including a pixel data storage area corresponding to each of the plurality of pixels of the screen of the display unit 450. The video memory 441a in this embodiment is the same as the video memory 342a in the third embodiment, and thus will not be described in detail.

The matrix initialization unit 441b calculates the size and elements of an ultrasonic data matrix to be formed using a plurality of ultrasonic data, and forms matrix information (hereinafter referred to as first matrix information) including the calculated size and elements. . In this case, the ultrasound data matrix has a size of the number of sampling points x the number of scan lines. In addition, the matrix initialization unit 441b analyzes a user command provided from the user input unit 410, calculates sizes and elements of each of a plurality of matrices to be formed using linear operation information corresponding to the user command, and calculates Matrix information (hereinafter referred to as second matrix information) including sizes and elements is formed. As an example, when the user command is the selection of the B-mode, the matrix initializer 441b includes a plurality of TGC matrices corresponding to linear operation information (ie, TGC parameters, decimation parameters, FIR filter parameters, and quadrature mixer parameters). Compute the size and elements of each of the decimation matrix, the plurality of FIR filter matrices, and the quadrature mixer matrix, and form second matrix information including the calculated size and elements. The TGC matrix, plural decimation matrices, plural FIR filter matrices and orthogonal mixer matrices in this embodiment are the same as the TGC matrix, plural decimation matrices, plural FIR filter matrices and orthogonal mixer matrices in the first embodiment. Therefore, it will not be described in detail.

As another example, when the user command is the selection of the D-mode, the matrix initializer 441b may perform linear operation information (ie, TGC parameters, decimation parameters, FIR filter parameters, quadrature mixer parameters, clutter filter parameters, and FFT parameters). Calculating a size and elements of a TGC matrix, a plurality of decimation matrices, a plurality of FIR filter matrices, an orthogonal mixer matrix, a clutter filter matrix, and an FFT matrix, respectively, and a second matrix including the calculated sizes and elements. Form information.

In the above examples, it has been described as forming the second matrix information when the user command is the selection of the B-mode or the D-mode, but the present invention is not limited thereto, and a user command may include the C-mode, the E-mode, and the 3D mode. It will be fully understood that the second matrix information can be formed as described above even in the case of selection of any one of the diagnostic modes.

The texture data forming unit 441c forms texture data (hereinafter, referred to as first texture data) including first matrix information provided from the matrix initialization unit 441b. In addition, the texture data forming unit 441c forms texture data (hereinafter referred to as second texture data) including each of a plurality of pieces of second matrix information provided from the matrix initialization unit 441b.

The data uploader 441d analyzes the user command from the user input unit 410 and the texture data (the first texture data and the plurality of second texture data) from the texture data forming unit 441c, and then the video memory 441a. Allocate storage space. In this case, the storage area is a storage area for storing the first texture data, a storage area for storing each of the plurality of second texture data, a storage area for storing the ultrasonic data matrix formed in the matrix forming unit 441e, and a matrix. And a storage area for temporarily storing a linearly calculated matrix (ie, a matrix operation) in the forming unit 441e, and a storage area for storing a linear arithmetic matrix formed in the matrix forming unit 441e. In addition, the data uploader 441d uploads texture data (first texture data and a plurality of second texture data) provided from the texture data forming unit 441c to a corresponding storage area of the video memory 441a.

When the texture data (first texture data and a plurality of second texture data) are uploaded to the video memory 441a, the matrix forming unit 441e forms an ultrasonic data matrix using the first texture data. The formed ultrasonic data matrix is stored in the corresponding storage area of the video memory 441a. In addition, the matrix forming unit 441e linearly performs each of a plurality of matrices corresponding to linear arithmetic information using a plurality of uploaded second texture data to form a linear arithmetic matrix. As an example, when the user command is the selection of the B-mode, the matrix forming unit 441e linearly computes the TGC matrix and the first FIR filter matrix by using text data uploaded to the video memory 441a. A first matrix). The formed first matrix is stored in a temporary storage area of the video memory 441a. Subsequently, the matrix forming unit 441e linearly operates the first matrix and the first decimation matrix stored in the temporary storage area of the video memory 441a to form a matrix (hereinafter referred to as a second matrix). The formed second matrix is stored in a temporary storage area of the video memory 441a. Subsequently, the matrix forming unit 441e linearly performs a second matrix and a second FIR filter matrix stored in the temporary storage area of the video memory 441a to form a matrix (hereinafter referred to as a third matrix). The matrix forming unit 441e sequentially performs the linear operations described above to form a linear arithmetic matrix. The formed linear arithmetic matrix is stored in the corresponding storage area of the video memory 441a.

In the above example, the user command is described as forming matrix information when the B-mode is selected. It will be fully understood that even in the case of selection of one diagnostic mode, matrix information can be formed as described above.

Referring back to FIG. 11, the second processor 442 is implemented by any one of a CPU, an FPGA, an ASIC, and a DSP chip to linearly operate the ultrasonic data matrix and the linear arithmetic matrix from the first processor 441. In addition, the second processor 442 performs a non-linear operation corresponding to a user command from the user input unit 410 on the plurality of ultrasound data of the linearly calculated ultrasound data matrix.

In the above-described embodiment, the second processor 442 performs a non-linear operation after performing a linear operation on the ultrasonic data matrix. In another embodiment, the second processor 442 performs a non-linear operation on the ultrasonic data matrix. You can also perform linear operations.

The third processor 443 is implemented as a GPU to perform data processing on a plurality of linearly and nonlinearly calculated ultrasound data according to a user command from the user input unit 410. In this embodiment, the data processing includes either scan conversion or rendering. The third processor 443 in this embodiment is the same as the second processor 342 in the third embodiment, and thus will not be described in detail.

In the above-described embodiment, the first processor 441 and the third processor 443 are described as being configured separately, but in another embodiment, the first processor 441 and the third processor 443 are one, that is, one It can also be configured as a GPU.

The display 450 displays a plurality of ultrasound data linearly and nonlinearly calculated by the processor 440 on the screen as an ultrasound image. That is, the display 450 displays the pixel data formed by the third processor 443 on the screen as an ultrasound image.

The controller 460 controls the transmission and reception of the ultrasound signal according to a user command from the user input unit 410, and controls the formation, the linear operation, and the nonlinear operation of the ultrasound data. In addition, the controller 460 controls the display of the ultrasound image.

Fifth Embodiment

13 is a block diagram showing the configuration of an ultrasound system 500 according to a fifth embodiment of the present invention. The ultrasound system 500 includes a user input unit 510, an ultrasound data acquisition unit 520, a storage unit 530, a processor 540, a display unit 550, and a controller 560.

The user input unit 510 is implemented as a control panel, a mouse, a keyboard, and the like, and receives a user's command. The user command in this embodiment is the same as the user input in the first embodiment and thus will not be described in detail.

The ultrasound data acquisition unit 520 transmits an ultrasound signal to the object and receives a ultrasound echo signal reflected from the object to obtain a plurality of ultrasound data. The ultrasonic data acquisition unit 520 in the present embodiment is the same as the ultrasonic data acquisition unit 120 in the first embodiment and thus will not be described in detail.

The storage unit 530 stores a plurality of ultrasound data provided by the ultrasound data acquisition unit 520 for each frame. In addition, the storage unit 530 stores linear operation information regarding a plurality of linear operations performed on a plurality of ultrasound data to form an ultrasound image for each diagnostic mode. That is, the storage unit 530 stores a mapping table that provides linear operation information corresponding to each of the plurality of diagnostic modes. Since the linear arithmetic and linear arithmetic information in the present embodiment are the same as the linear arithmetic and linear arithmetic information in the third embodiment, they will not be described in detail. In this embodiment, the storage unit 530 includes a first storage unit (not shown) for storing a plurality of ultrasound data and a second storage unit (not shown) for storing a mapping table.

The processor 540 performs a linear operation on a plurality of ultrasound data using a mapping table stored in the storage unit 530 according to a user command from the user input unit 510 (hereinafter, referred to as a linear arithmetic matrix). And perform linear and nonlinear operations using a linear arithmetic matrix on a plurality of ultrasound data, and perform scan transformation or rendering on a plurality of linear and nonlinear a plurality of ultrasound data. Since the nonlinear operation in this embodiment is the same as the nonlinear operation in the first embodiment, it will not be described in detail. In this embodiment, the processor 540 is implemented as a GPU.

14 is a block diagram illustrating a configuration of a processor 540 according to a fifth embodiment of the present invention. The processor 540 includes a video memory 541, a matrix initializer 542, a texture data generator 543, a data uploader 544, a matrix generator 545, a linear operator 546, and a nonlinear operator 547. ) And a data processor 548.

The video memory 541 includes a plurality of storage areas including a pixel data storage area corresponding to each of the plurality of pixels of the screen of the display unit 550. The video memory 541 in this embodiment is the same as the video memory 342a in the third embodiment, and thus will not be described in detail.

The initialization unit 542 uses a plurality of vertexts according to a user command (ie, selection of a diagnosis mode) from the user input unit 510 to determine a position where an ultrasound image is to be displayed on the screen of the display unit 550. Form vertex information for initialization. Since the vertex information in this embodiment is the same as the vertex information in the third embodiment, it will not be described in detail. In addition, the initialization unit 542 calculates the size and elements of the ultrasound data matrix to be formed using the plurality of ultrasound data, and forms first matrix information including the calculated size and elements. In this case, the ultrasound data matrix has a size of the number of sampling points x the number of scan lines. In addition, the initialization unit 542 analyzes a user command provided from the user input unit 510, calculates sizes and elements of each of a plurality of matrices to be formed using linear operation information corresponding to the user command, and calculates the size. And second matrix information including elements. Since the first and second matrix information in this embodiment are the same as the first and second matrix information in the fourth embodiment, they will not be described in detail.

The texture data forming unit 543 forms first texture data including first matrix information provided from the initialization unit 542. In addition, the texture data forming unit 543 forms second texture data including each of a plurality of pieces of second matrix information provided from the initialization unit 542. In addition, the texture data forming unit 543 forms third texture data including vertex information provided from the initialization unit 542.

The data uploader 544 analyzes the user command from the user input unit 510 and the texture data (first to third texture data) from the texture data forming unit 543 to determine the storage area of the video memory 541. Assign. In this case, the storage area includes a storage area for storing first texture data, a storage area for storing each of the plurality of second texture data, a third storage area for storing third texture data, and a matrix forming unit 545. A storage area for storing the formed ultrasonic data matrix, a storage area for temporarily storing a matrix that is linearly calculated (that is, matrix operation) in the matrix forming unit 545, and a linear arithmetic matrix formed in the matrix forming unit 545. A storage area for storing, a storage area for storing the ultrasonic data matrix linearly calculated by the linear calculation unit 546, a storage area for storing the nonlinear operation ultrasound data matrix by the nonlinear calculation unit 547, and performing a function of a GPU. Storage area for storing code data (shader code, filter shader code, color palette data (in the case of C-mode)), and the like. In addition, the data uploader 544 uploads texture data (first to third texture data) provided from the texture data forming unit 543 to a corresponding storage area of the video memory 541.

When texture data (first texture data and a plurality of second texture data) are uploaded to the video memory 541, the matrix forming unit 545 forms a first ultrasonic data matrix using the first texture data. The formed first ultrasound data matrix is stored in a corresponding storage area of the video memory 541. In addition, the matrix forming unit 545 linearly performs each of a plurality of matrices corresponding to the linear arithmetic information by using the plurality of uploaded second texture data to form a linear arithmetic matrix. Since the linear arithmetic matrix in the present embodiment is formed in the same manner as the method of forming the linear arithmetic matrix in the fourth embodiment, it will not be described in detail. The formed linear arithmetic matrix is stored in the corresponding storage area of the video memory 541.

The linear operation unit 546 linearly operates the first ultrasound data matrix and the linear operation matrix formed by the matrix forming unit 545 and outputs the second ultrasound data matrix. The output second ultrasound data matrix is stored in a corresponding storage area of the video memory 541.

The nonlinear calculator 547 outputs a third ultrasound data matrix by performing a nonlinear operation corresponding to a user command from the user input unit 510 on the second ultrasound data matrix linearly calculated by the linear operator 546. The output third ultrasound data matrix is stored in a corresponding storage area of the video memory 541.

In the above-described embodiment, the linear operator 546 performs the linear operation, and then the nonlinear operator 547 performs the nonlinear operation. In another embodiment, the nonlinear operator 547 performs the nonlinear operation. The linear operator 546 may perform a linear operation.

The data processor 548 processes data to a plurality of ultrasound data of the third ultrasound data matrix linearly and nonlinearly calculated using the shader code uploaded to the video memory 541 according to a user command from the user input unit 510. Perform (scan transform or render). The data processor 548 performs filtering by applying a filter shader code to the plurality of ultrasound data processed to form pixel data. Pixel data is stored in a designated area of video memory 541.

Referring back to FIG. 13, the display unit 550 displays a plurality of pieces of ultrasound data linearly and nonlinearly calculated by the processor 540 as ultrasound images on a screen. That is, the display unit 550 displays the pixel data formed by the processor 540 on the screen as an ultrasound image.

The controller 560 controls transmission and reception of the ultrasound signal according to a user command from the user input unit 510, and controls the formation of the ultrasound data, the linear operation, and the nonlinear operation. In addition, the controller 560 controls the display of the ultrasound image.

While the invention has been described and illustrated by way of preferred embodiments, those skilled in the art will recognize that various modifications and changes can be made without departing from the spirit and scope of the appended claims.

1 is a block diagram showing the configuration of an ultrasonic system according to a first embodiment of the present invention.

Figure 2 is a block diagram showing the configuration of the ultrasonic data acquisition unit according to the first embodiment of the present invention.

3 is a block diagram showing a configuration of a processor according to a first embodiment of the present invention.

Figure 4 is a block diagram showing the configuration of an ultrasonic system according to a second embodiment of the present invention.

5 is a block diagram showing a configuration of a processor according to a second embodiment of the present invention.

6 is a block diagram showing the configuration of an ultrasonic system according to a third embodiment of the present invention.

7 is a block diagram showing a configuration of a first processor according to a third embodiment of the present invention.

8 is a block diagram showing a configuration of a second processor according to a third embodiment of the present invention.

9 is an exemplary view showing an example of vertex initialization according to the third embodiment of the present invention.

10 is an exemplary view showing an example of forming texture data according to the third embodiment of the present invention.

11 is a block diagram showing a configuration of an ultrasonic system according to a fourth embodiment of the present invention.

12 is a block diagram showing a configuration of a first processor according to a fourth embodiment of the present invention.

13 is a block diagram showing the configuration of an ultrasonic system according to a fifth embodiment of the present invention.

14 is a block diagram showing a configuration of a processor according to a fifth embodiment of the present invention.

Claims (48)

As an ultrasonic system, A storage unit for storing a mapping table for providing linear operation information corresponding to each of a plurality of diagnostic modes for forming an ultrasound image; A user input unit operable to receive a user command corresponding to selection of a diagnosis mode from a user; An ultrasound data acquisition unit configured to transmit an ultrasound signal to an object and to receive a plurality of ultrasound data by receiving an ultrasound echo signal reflected from the object; And Forming a linear arithmetic matrix for linear arithmetic on the plurality of ultrasonic data using the mapping table according to the user command, and performing linear and nonlinear arithmetic on the plurality of ultrasonic data using the linear arithmetic matrix Processor Ultrasound system comprising a. According to claim 1, wherein the linear operation information is TGC parameters for time gain compensation (TGC) processing, decimation parameters for decimation processing for adjusting the amount of ultrasound data, I / Q (in-phase / Quadrature mixer parameters for quadrature mixer processing to form quadrature-phase data, FIR filter parameters for finite impulse response (FIR) filter processing, clutter filter parameters for clutter filter processing, An ultrasound system comprising FFT parameters for fast Fourier transform (FFT) processing, scan transform parameters for scan transform and interpolation processing, and rendering parameters for rendering processing. The method of claim 2, wherein the processor, An ultrasonic data matrix forming unit operable to form a first ultrasonic data matrix using the plurality of ultrasonic data; A first linear arithmetic matrix forming unit operable to extract first linear arithmetic information corresponding to the user command from the mapping table and to form a first linear arithmetic matrix using the first linear arithmetic information; A first linear calculator configured to linearly operate the first ultrasound data matrix and the first linear math matrix to output a second ultrasound data matrix; A nonlinear calculator configured to output a third ultrasound data matrix by performing a nonlinear operation corresponding to the user command on the second ultrasound data matrix; A second linear arithmetic matrix forming unit operable to extract second linear arithmetic information corresponding to the user command from the mapping table and to form a second linear arithmetic matrix using the second linear arithmetic information; And A second linear operation unit operable to linearly operate the third ultrasound data matrix and the second linear operation matrix Ultrasound system comprising a. The system of claim 2, wherein the processor is An ultrasonic data matrix forming unit operable to form a first ultrasonic data matrix using the plurality of ultrasonic data; A nonlinear calculator configured to output a second ultrasound data matrix by performing a nonlinear operation corresponding to the user command on the first ultrasound data matrix; A first linear arithmetic matrix forming unit operable to extract first linear arithmetic information corresponding to the user command from the mapping table and to form a first linear arithmetic matrix using the first linear arithmetic information; A first linear calculator configured to linearly operate the second ultrasound data matrix and the first linear math matrix to output a third ultrasound data matrix; A second linear arithmetic matrix forming unit operable to extract second linear arithmetic information corresponding to the user command from the mapping table and to form a second linear arithmetic matrix using the second linear arithmetic information; And A second linear operation unit operable to linearly operate the third ultrasound data matrix and the second linear operation matrix Ultrasound system comprising a. The method of claim 2, wherein the processor, An ultrasonic data matrix forming unit operable to form a first ultrasonic data matrix using the plurality of ultrasonic data; A first linear arithmetic matrix forming unit operable to extract first linear arithmetic information corresponding to the user command from the mapping table and to form a first linear arithmetic matrix using the first linear arithmetic information; A first linear calculator configured to linearly operate the first ultrasound data matrix and the first linear math matrix to output a second ultrasound data matrix; A second linear arithmetic matrix forming unit operable to extract second linear arithmetic information corresponding to the user command from the mapping table and to form a second linear arithmetic matrix using the second linear arithmetic information; A second linear calculator configured to linearly operate the second ultrasound data matrix and the second linear math matrix to output a third ultrasound data matrix; And A nonlinear operation unit operable to perform a nonlinear operation corresponding to the user command on the third ultrasound data matrix Ultrasound system comprising a. The method of claim 2, wherein the processor, An ultrasonic data matrix forming unit operable to form a first ultrasonic data matrix using the plurality of ultrasonic data; A linear arithmetic matrix forming unit operable to extract linear arithmetic information corresponding to the user command from the mapping table and to form a linear arithmetic matrix using the extracted linear arithmetic information; A linear operation unit operable to linearly operate the first ultrasound data matrix and the linear operation matrix to output a second ultrasound data matrix; And A nonlinear operation unit operable to perform a nonlinear operation corresponding to the user command on the second ultrasound data matrix Ultrasound system comprising a. The method of claim 2, wherein the processor, An ultrasonic data matrix forming unit operable to form a first ultrasonic data matrix using the plurality of ultrasonic data; A nonlinear calculator configured to output a second ultrasound data matrix by performing a nonlinear operation corresponding to the user command on the first ultrasound data matrix; A linear arithmetic matrix forming unit configured to extract linear arithmetic information corresponding to the user command from the mapping table and form a linear arithmetic matrix using the extracted linear arithmetic information; And A linear operation unit operable to linearly operate the second ultrasound data matrix and the linear operation matrix Ultrasound system comprising a. The processor of claim 3, wherein the processor is any one of a central processing unit (CPU), a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), and a digital signal processing chip (DSP). Ultrasound system comprising a. The method of claim 2, wherein the linear operation information includes a TGC parameter for time gain compensation (TGC) processing, a decimation parameter for decimation processing for adjusting the amount of ultrasonic data, and I / Q (in-phase / Quadrature mixer parameters for quadrature mixer processing to form quadrature-phase data, FIR filter parameters for finite impulse response (FIR) filter, clutter filter parameters for clutter filter processing, and An ultrasound system comprising FFT parameters for fast Fourier transform (FFT) processing. The processor of claim 9, wherein the processor comprises: A first processor operative to perform linear and nonlinear operations on the plurality of ultrasound data using the mapping table according to the user command; And A second processor operative to perform scan conversion or rendering on the linear and nonlinear computed plurality of ultrasound data in accordance with the user command Ultrasound system comprising a. The method of claim 10, wherein the first processor, An ultrasonic data matrix forming unit operable to form a first ultrasonic data matrix using the plurality of ultrasonic data; A linear arithmetic matrix forming unit operable to extract linear arithmetic information corresponding to the user command from the mapping table and to form a linear arithmetic matrix using the linear arithmetic information; A linear operation unit operable to linearly operate the ultrasonic data matrix and the linear operation matrix to output a second ultrasonic data matrix; And A nonlinear operation unit operable to perform a nonlinear operation corresponding to the user command on the second ultrasound data matrix Ultrasound system comprising a. The method of claim 10, wherein the first processor, An ultrasonic data matrix forming unit operable to form a first ultrasonic data matrix using the plurality of ultrasonic data; A nonlinear calculator configured to output a second ultrasound data matrix by performing a nonlinear operation corresponding to the user command on the first ultrasound data matrix; A linear arithmetic matrix forming unit operable to extract linear arithmetic information corresponding to the user command from the mapping table and to form a linear arithmetic matrix using the linear arithmetic information; And A linear operation unit operable to linearly operate the second ultrasound data matrix and the first linear arithmetic matrix Ultrasound system comprising a. The ultrasound system of claim 11 or 12, wherein the first processor comprises any one of a CPU, an FPGA, an ASIC, and a DSP chip. The method of claim 10, wherein the second processor, A video memory including a plurality of storage areas; A vertex initialization unit operable to form vertex information for initializing a position at which an ultrasound image is to be displayed using a plurality of vertexts according to the user command; A texture data forming unit operable to combine texture data of the plurality of linear and nonlinear operations with the vertex information according to the user command to form texture data; A data uploader configured to allocate a storage area of the video memory according to a data format of a diagnostic mode corresponding to the user command, and to upload the texture data to the allocated storage area; And A data processor configured to perform scan conversion or rendering on the texture data according to the user command, and perform filtering on the scan conversion or rendered texture data to form pixel data corresponding to an ultrasound image Ultrasound system comprising a. The ultrasound system of claim 14, wherein the second processor comprises a graphic processing unit (GPU). The processor of claim 9, wherein the processor comprises: A first processor operative to form an ultrasonic data matrix using the plurality of ultrasonic data and to form a linear arithmetic matrix using linear arithmetic information corresponding to the user command; A second processor operative to perform linear and nonlinear operations using the linear arithmetic matrix on the ultrasound data matrix in accordance with the user command; And A third processor operative to perform scan transformation or rendering on the linearly and nonlinearly computed ultrasound data matrix in accordance with the user command Ultrasound system comprising a. The method of claim 16, wherein the first processor, A video memory including a plurality of storage areas; Calculating first size and first elements of an ultrasonic data matrix to be formed using the plurality of ultrasound data, forming first matrix information including the first size and first elements, and analyzing the user command Calculate second sizes and second elements of each of the plurality of matrices to be formed using the linear operation information corresponding to the user command, and form a plurality of second matrix information including the second sizes and the second elements. A matrix initialization unit operating; A texture data forming unit configured to form first texture data including the first matrix information and to form a plurality of second texture data including each of the plurality of second matrix informations; Analyzing the user command, the first texture data and the plurality of second texture data to allocate a storage area of the video memory, and to assign the first texture data and the plurality of texture data to the video memory. A data upload unit operative to upload to a storage area; And An ultrasonic data matrix is formed using the uploaded first texture data, a matrix corresponding to each of the plurality of second texture data is formed using the uploaded plurality of second texture data, and the plurality of matrices are formed. A matrix forming unit operable to form a linear arithmetic matrix by performing linear arithmetic Ultrasound system comprising a. 18. The ultrasound system of claim 17 wherein the first processor comprises a GPU. 17. The ultrasound system of claim 16 wherein the second processor comprises any one of a CPU, FPGA, ASIC and DSP chip. The method of claim 16, wherein the third processor, A video memory including a plurality of storage areas; A vertex initialization unit operable to form vertex information for initializing a position at which an ultrasound image is to be displayed using a plurality of vertexts according to the user command; A texture data forming unit operable to combine texture data of the plurality of linear and nonlinear operations with the vertex information according to the user command to form texture data; A data uploader configured to allocate a storage area of the video memory according to a data format of a diagnostic mode corresponding to the user command, and to upload the texture data to the allocated storage area; And A data processor configured to perform scan conversion or rendering on the texture data according to the user command, and perform filtering on the scan conversion or rendered texture data to form pixel data corresponding to an ultrasound image Ultrasound system comprising a. The ultrasound system of claim 20 wherein the third processor comprises a GPU. The processor of claim 9, wherein the processor comprises: A video memory including a plurality of storage areas; Calculating first size and first elements of an ultrasonic data matrix to be formed using the plurality of ultrasound data, forming first matrix information including the first size and first elements, and analyzing the user command Calculating second sizes and second elements of each of the plurality of matrices to be formed using the linear operation information corresponding to the user command, and forming a plurality of second matrix information including the second sizes and the second elements; An initialization unit operative to form vertex information for initializing a position at which an ultrasound image is to be displayed using a plurality of vertices according to the user command; Form first texture data including the first matrix information, form a plurality of second texture data including each of the plurality of second matrix information, and form third texture data including the vertex information; An operating texture data forming unit; Analyzing the user command and the first to third texture data to allocate a storage area of the video memory, and to upload the first to third texture data to a corresponding storage area allocated to the video memory. Uploading unit; A first ultrasonic data matrix is formed using the uploaded first texture data, and a matrix corresponding to each of the plurality of second texture data is formed using the uploaded second texture data. A matrix forming unit operable to linearly operate a matrix to form the linear arithmetic matrix; A linear operation unit operable to linearly operate the first ultrasound data matrix and the linear operation matrix to output a second ultrasound data matrix; A nonlinear calculator configured to output a third ultrasound data matrix by performing a nonlinear operation corresponding to the user command on the second ultrasound data matrix; And According to the user command to perform a scan conversion or rendering on a plurality of ultrasound data of the third ultrasound data matrix, and to perform a filter on the plurality of ultrasound transformed or rendered ultrasound data to form pixel data corresponding to the ultrasound image Operational Data Processing Unit Ultrasound system comprising a. The processor of claim 9, wherein the processor comprises: A video memory including a plurality of storage areas; Calculating first size and first elements of an ultrasonic data matrix to be formed using the plurality of ultrasound data, forming first matrix information including the first size and first elements, and analyzing the user command Calculating second sizes and second elements of each of the plurality of matrices to be formed using the linear operation information corresponding to the user command, and forming a plurality of second matrix information including the second sizes and the second elements; An initialization unit operative to form vertex information for initializing a position at which an ultrasound image is to be displayed using a plurality of vertices according to the user command; Form first texture data including the first matrix information, form a plurality of second texture data including each of the plurality of second matrix information, and form third texture data including the vertex information; An operating texture data forming unit; Analyzing the user command and the first to third texture data to allocate a storage area of the video memory, and to upload the first to third texture data to a corresponding storage area allocated to the video memory. Uploading unit; A first ultrasonic data matrix is formed using the uploaded first texture data, and a matrix corresponding to each of the plurality of second texture data is formed using the uploaded second texture data. A matrix forming unit operable to linearly operate a matrix to form the linear arithmetic matrix; A nonlinear calculator configured to output a second ultrasound data matrix by performing a nonlinear operation corresponding to the user command on the first ultrasound data matrix; A linear operation unit operable to linearly operate the second ultrasound data matrix and the linear operation matrix to output a third ultrasound data matrix; And According to the user command to perform a scan conversion or rendering on a plurality of ultrasound data of the third ultrasound data matrix, and to perform a filter on the plurality of ultrasound transformed or rendered ultrasound data to form pixel data corresponding to the ultrasound image Operational Data Processing Unit Ultrasound system comprising a. The ultrasound system of claim 22 or 23 wherein the processor comprises a GPU. Ultrasonic data processing method, a) storing, in a storage unit, a mapping table for providing linear operation information corresponding to each of a plurality of diagnostic modes for forming an ultrasound image; b) receiving a user command corresponding to selection of a diagnosis mode from a user; c) obtaining a plurality of ultrasound data by transmitting an ultrasound signal to an object and receiving an ultrasound echo signal reflected from the object; And d) forming a linear arithmetic matrix for linear arithmetic on the plurality of ultrasonic data using the mapping table according to the user command, and performing linear and nonlinear arithmetic on the plurality of ultrasonic data using the linear arithmetic matrix Steps to Ultrasonic data processing method comprising a. The method of claim 25, wherein the linear operation information includes a TGC parameter for time gain compensation (TGC) processing, a decimation parameter for decimation processing for adjusting the amount of ultrasonic data, and I / Q (in-phase / Quadrature mixer parameters for quadrature mixer processing to form quadrature-phase data, FIR filter parameters for finite impulse response (FIR) filter processing, clutter filter parameters for clutter filter processing, An ultrasonic data processing method comprising an FFT parameter for fast Fourier transform (FFT) processing, a scan transform parameter for scan transform and interpolation processing, and a rendering parameter for rendering processing. The method of claim 26, wherein step d) Forming a first ultrasound data matrix using the plurality of ultrasound data; Extracting first linear operation information corresponding to the user command from the mapping table; Forming a first linear arithmetic matrix using the first linear arithmetic information; Linearly computing the first ultrasound data matrix and the first linear arithmetic matrix and outputting a second ultrasound data matrix; Outputting a third ultrasound data matrix by performing a non-linear operation corresponding to the user command on the second ultrasound data matrix; Extracting second linear operation information corresponding to the user command from the mapping table; Forming a second linear arithmetic matrix using the second linear arithmetic information; And Linearly computing the third ultrasound data matrix and the second linear arithmetic matrix Ultrasonic data processing method comprising a. The method of claim 26, wherein step d) Forming a first ultrasound data matrix using the plurality of ultrasound data; Outputting a second ultrasonic data matrix by performing a non-linear operation corresponding to the user command on the first ultrasonic data matrix; Extracting first linear operation information corresponding to the user command from the mapping table; Forming a first linear arithmetic matrix using the first linear arithmetic information; Linearly computing the second ultrasound data matrix and the first linear math matrix and outputting a third ultrasound data matrix; Extracting second linear operation information corresponding to the user command from the mapping table; Forming a second linear arithmetic matrix using the second linear arithmetic information; And Linearly computing the third ultrasound data matrix and the second linear arithmetic matrix Ultrasonic data processing method comprising a. The method of claim 26, wherein step d) Forming a first ultrasound data matrix using the plurality of ultrasound data; Extracting first linear operation information corresponding to the user command from the mapping table; Forming a first linear arithmetic matrix using the first linear arithmetic information; Linearly computing the first ultrasound data matrix and the first linear arithmetic matrix and outputting a second ultrasound data matrix; Extracting second linear operation information corresponding to the user command from the mapping table; Forming a second linear arithmetic matrix using the second linear arithmetic information; Linearly computing the second ultrasound data matrix and the second linear arithmetic matrix and outputting a third ultrasound data matrix; And Performing a non-linear operation corresponding to the user command on the third ultrasound data matrix Ultrasonic data processing method comprising a. The method of claim 26, wherein step d) Forming a first ultrasound data matrix using the plurality of ultrasound data; Extracting linear operation information corresponding to the user command from the mapping table; Forming a linear arithmetic matrix using the extracted linear arithmetic information; Linearly computing the first ultrasound data matrix and the linear operation matrix and outputting a second ultrasound data matrix; And Performing a non-linear operation corresponding to the user command on the second ultrasound data matrix Ultrasonic data processing method comprising a. The method of claim 26, wherein step d) Forming a first ultrasound data matrix using the plurality of ultrasound data; Outputting a second ultrasonic data matrix by performing a non-linear operation corresponding to the user command on the first ultrasonic data matrix; Extracting linear operation information corresponding to the user command from the mapping table; Forming a linear arithmetic matrix using the extracted linear arithmetic information; And Linearly computing the second ultrasound data matrix and the linear arithmetic matrix Ultrasonic data processing method comprising a. 32. The method of any of claims 27 to 31, wherein step d) comprises a central processing unit (CPU), a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), and a digital signal processing chip (DSP). Ultrasonic data processing method performed by any one of. 27. The method of claim 26, wherein the linear operation information includes a TGC parameter for time gain compensation (TGC) processing, a decimation parameter for decimation processing for adjusting the amount of ultrasonic data, and I / Q (in-phase / Quadrature mixer parameters for quadrature mixer processing to form quadrature-phase data, FIR filter parameters for finite impulse response (FIR) filter, clutter filter parameters for clutter filter processing, and An ultrasound data processing method comprising an FFT parameter for fast Fourier transform (FFT) processing. The method of claim 33, wherein step d) d1) performing linear and nonlinear operations on the plurality of ultrasound data using the mapping table according to the user command; And d2) performing a scan conversion or rendering on the linear and nonlinear computed plurality of ultrasound data according to the user command Ultrasonic data processing method comprising a. The method of claim 34, wherein step d1) Forming a first ultrasound data matrix using the plurality of ultrasound data; Extracting linear operation information corresponding to the user command from the mapping table; Forming a linear arithmetic matrix using the linear arithmetic information; Linearly calculating the ultrasonic data matrix and the linear arithmetic matrix to output a second ultrasonic data matrix; And Performing a non-linear operation corresponding to the user command on the second ultrasound data matrix Ultrasonic data processing method comprising a. The method of claim 34, wherein step d1) Forming a first ultrasound data matrix using the plurality of ultrasound data; Outputting a second ultrasonic data matrix by performing a non-linear operation corresponding to the user command on the first ultrasonic data matrix; Extracting linear operation information corresponding to the user command from the mapping table; Forming a linear arithmetic matrix using the linear arithmetic information; And Linearly computing the second ultrasound data matrix and the first linear arithmetic matrix Ultrasonic data processing method comprising a. 37. The method of claim 35 or 36, wherein step d1) is performed through any one of a CPU, an FPGA, an ASIC, and a DSP chip. 35. The method of claim 34, wherein step d2) is performed through a graphics processing unit (GPU) including a video memory. The method of claim 38, wherein step d2) Forming vertex information for initializing a position at which an ultrasound image is to be displayed using a plurality of vertexts according to the user command; Forming texture data by combining the vertex information with the plurality of ultrasonic data linearly and nonlinearly calculated according to the user command; Allocating a storage area of the video memory according to a data format of a diagnostic mode corresponding to the user command; Uploading the texture data to the allocated storage area; Performing scan conversion or rendering on the texture data according to the user command; And Forming pixel data corresponding to an ultrasound image by performing filtering on the scan transform or rendered texture data Ultrasonic data processing method comprising a. The method of claim 33, wherein step d) d1) forming an ultrasound data matrix using the plurality of ultrasound data, and forming a linear calculation matrix using linear operation information corresponding to the user command; d2) performing linear and nonlinear operations on the ultrasound data matrix using the linear arithmetic matrix according to the user command; And Performing scan transformation or rendering on the linearly and nonlinearly calculated ultrasonic data matrix according to the user command Ultrasonic data processing method comprising a. 41. The method of claim 40, wherein step d1) is performed via a GPU comprising video memory. 42. The method of claim 41, wherein step d1) Calculating a first size and first elements of an ultrasound data matrix to be formed using the plurality of ultrasound data; Forming first matrix information including the first size and first elements; Analyzing the user command to calculate second sizes and second elements of each of a plurality of matrices to be formed using linear operation information corresponding to the user command; Forming a plurality of second matrix information including the second size and second elements; Forming first texture data including the first matrix information; Forming a plurality of second texture data including each of the plurality of second matrix informations; Allocating a storage area of the video memory by analyzing the user command, the first texture data and the plurality of second texture data; Uploading the first texture data and the plurality of texture data to a corresponding storage area allocated to the video memory; And Forming an ultrasonic data matrix using the uploaded first texture data; Forming a matrix corresponding to each of the plurality of second texture data using the uploaded plurality of second texture data; And Linearly computing the plurality of matrices to form the linear arithmetic matrix Ultrasonic data processing method comprising a. 41. The method of claim 40, wherein step d2) is performed via any one of a CPU, FPGA, ASIC, and DSP chip. 41. The method of claim 40, wherein step d3) is performed via a GPU comprising video memory. 45. The method of claim 44, wherein step d3) Forming vertex information for initializing a position at which an ultrasound image is to be displayed using a plurality of vertexts according to the user command; Combining the linear and nonlinear a plurality of ultrasound data and the vertex information according to the user command to form texture data; Allocating a storage area of the video memory according to a data format of a diagnostic mode corresponding to the user command; Uploading the texture data to the allocated storage area; Performing scan conversion or rendering on the texture data according to the user command; And Forming pixel data corresponding to an ultrasound image by performing filtering on the scan transform or rendered texture data Ultrasonic data processing method comprising a. 34. The method of claim 33, wherein step d) is performed via a GPU comprising video memory. The method of claim 46, wherein step d) Calculating a first size and first elements of an ultrasound data matrix to be formed using the plurality of ultrasound data; Forming first matrix information including the first size and first elements; Analyzing the user command to calculate second sizes and second elements of each of a plurality of matrices to be formed using linear operation information corresponding to the user command; Forming a plurality of second matrix information including the second size and second elements; Forming vertex information for initializing a position at which an ultrasound image is to be displayed using a plurality of vertices according to the user command; Forming first texture data including the first matrix information; Forming a plurality of second texture data including each of the plurality of second matrix informations; Forming third texture data including the vertex information; Allocating a storage area of the video memory by analyzing the user command and the first to third texture data; Uploading the first to third texture data to a corresponding storage area allocated to the video memory; Forming a first ultrasound data matrix using the uploaded first texture data; Forming a matrix corresponding to each of the plurality of second texture data using the uploaded plurality of second texture data; Linearly computing the plurality of matrices to form the linear arithmetic matrix; Linearly computing the first ultrasound data matrix and the linear operation matrix and outputting a second ultrasound data matrix; Outputting a third ultrasound data matrix by performing a non-linear operation corresponding to the user command on the second ultrasound data matrix; Performing scan transformation or rendering on a plurality of ultrasound data of the third ultrasound data matrix according to the user command; Forming pixel data corresponding to an ultrasound image by performing filtering on the scan transformed or rendered plurality of ultrasound data Ultrasonic data processing method comprising a. The method of claim 46, wherein step d) Calculating a first size and first elements of an ultrasound data matrix to be formed using the plurality of ultrasound data; Forming first matrix information including the first size and first elements; Analyzing the user command to calculate second sizes and second elements of each of a plurality of matrices to be formed using linear operation information corresponding to the user command; Forming a plurality of second matrix information including the second size and second elements; Forming vertex information for initializing a position at which an ultrasound image is to be displayed using a plurality of vertices according to the user command; Forming first texture data including the first matrix information; Forming a plurality of second texture data including each of the plurality of second matrix informations; Forming third texture data including the vertex information; Allocating a storage area of the video memory by analyzing the user command and the first to third texture data; Uploading the first to third texture data to a corresponding storage area allocated to the video memory; Forming a first ultrasound data matrix using the uploaded first texture data; Forming a matrix corresponding to each of the plurality of second texture data using the uploaded plurality of second texture data; Linearly computing the plurality of matrices to form the linear arithmetic matrix; Outputting a second ultrasonic data matrix by performing a non-linear operation corresponding to the user command on the first ultrasonic data matrix; Linearly computing the second ultrasound data matrix and the linear operation matrix to output a third ultrasound data matrix; Performing scan transformation or rendering on a plurality of ultrasound data of the third ultrasound data matrix according to the user command; And Forming pixel data corresponding to an ultrasound image by performing filtering on the scan transformed or rendered plurality of ultrasound data Ultrasonic data processing method comprising a.

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