WO2021033741A1 - 医用画像処理装置、x線診断装置、および医用画像処理方法 - Google Patents
医用画像処理装置、x線診断装置、および医用画像処理方法 Download PDFInfo
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Definitions
- the embodiments disclosed in the present specification and drawings relate to a medical image processing device, an X-ray diagnostic device, and a medical image processing method.
- X-rays such as X-ray fluoroscopes and X-ray angio devices that can observe the inside of a subject in real time by irradiating the subject with X-rays and displaying the acquired images in chronological order in real time in a moving manner.
- a line diagnostic device is provided.
- a plurality of time-series X-ray images acquired by the X-ray diagnostic apparatus can be observed in a post-process in a moving manner after the fact by the X-ray diagnostic apparatus or another apparatus.
- Such an X-ray diagnostic device may be used for angiography using a catheter or IVR (Interventional Radiology).
- IVR Interventional Radiology
- the user displays an X-ray fluoroscopic image based on X-ray imaging with an X-ray diagnostic device in real time, and the position of the catheter drawn on the X-ray image and the position of the treatment instrument such as a balloon (imposition).
- the procedure may be performed while checking the position).
- an X-ray image may be used to confirm whether an instrument such as a balloon has been placed at a target position.
- X-ray images are subjected to image processing such as background compression, signal enhancement, and gradation conversion in order to improve the visibility of instruments such as contrast media and catheters depicted in the X-ray images.
- image processing such as gradation conversion, it is possible to emphasize the shadow of an instrument such as a contrast medium or a catheter, which is an object to be confirmed by the user, in the X-ray image.
- the medical image processing apparatus includes an acquisition unit, an extraction unit, and an enhancement processing image generation unit.
- the acquisition unit acquires a plurality of time-series X-ray images of the subject.
- the extraction unit extracts components related to motion in each of a plurality of X-ray images.
- the enhancement-processed image generation unit generates an enhancement-processed image in which a moving object is emphasized in each of a plurality of X-ray images based on the extracted components related to the movement.
- the emphasis processing image generation unit may generate an enhancement processing image by synthesizing the X-ray image and the extracted component related to the movement.
- the medical image processing apparatus generates motion suppression images in which motion-related components are suppressed more than the plurality of X-ray images based on two or more of the plurality of X-ray images.
- An image generation unit may be further provided.
- the extraction unit may extract motion-related components in each of the plurality of X-ray images by differentiating the motion suppression images from each of the plurality of X-ray images.
- the motion suppression image generation unit may generate an average value image or a median value image of two or more of a plurality of X-ray images as the motion suppression image.
- the motion suppression image generator is based on the motion suppression image generated before the X-ray irradiation is turned off and the X-ray image captured after the X-ray irradiation is turned on.
- the motion suppression image may be updated.
- the motion suppression image generation unit When the irradiation field in the X-ray imaging of the subject is changed, the motion suppression image generation unit performs X-ray imaging in the irradiation field before the change for the portion of the irradiation field after the change that overlaps with the irradiation field before the change. It is preferable to generate the motion suppression image of the irradiation field after the change by using the motion suppression image based on two or more of the plurality of X-ray images.
- the emphasis-processed image generation unit may generate an intermediate-enhanced image by multiplying the extracted motion-related components by a coefficient, and generate an enhanced-processed image by synthesizing the intermediate-enhanced image and the X-ray image.
- the medical image processing apparatus may further include an enhancement processing unit that converts an X-ray image into a plurality of frequency band data.
- the enhancement processing unit may assign an enhancement coefficient to each of the plurality of frequency band data according to the ratio of the components related to the extracted motion by cooperating with the extraction unit and the enhancement processing image generation unit.
- the enhancement processing unit may generate image data of an intermediate emphasis image for each of a plurality of frequency bands based on the assigned enhancement coefficient.
- the enhanced image generation unit may generate an enhanced image based on the image data of the intermediate enhanced image for each of a plurality of frequency bands.
- the enhancement processing image generation unit may narrow the window width of the enhancement processing image so that the object is emphasized.
- the movement includes, for example, at least one of the movements derived from at least one of the pulsation and the respiratory movement of the subject, and the movements derived from the movement of the object when the object moves in the subject.
- the medical image processing apparatus includes an acquisition unit, a motion suppression image generation unit, a difference image generation unit, and an enhancement processing image generation unit.
- the acquisition unit acquires a plurality of time-series X-ray images of the subject.
- the motion suppression image generation unit generates a motion suppression image in which components related to motion are suppressed based on two or more of a plurality of time-series X-ray images.
- the difference image generation unit generates a difference image by difference processing between at least one of a plurality of time-series X-ray images and a motion suppression image.
- the enhancement processing image generation unit generates an enhancement processing image of the object drawn on the difference image by adding the generated difference image and the X-ray image corresponding to the difference image.
- the medical image processing apparatus includes an acquisition unit, a representative value image generation unit, a difference image generation unit, and an enhancement processing image generation unit.
- the acquisition unit acquires a plurality of time-series X-ray images of the subject.
- the representative value image generation unit generates a representative value image in which each pixel is a representative value of the pixel values in the two or more X-ray images based on two or more of the plurality of X-ray images in the time series. ..
- the difference image generation unit generates a difference image by difference processing between at least one of a plurality of time-series X-ray images and a representative value image.
- the enhancement processing image generation unit generates an enhancement processing image of the object drawn on the difference image by adding the generated difference image and the X-ray image corresponding to the difference image.
- the emphasis processing image generation unit may generate the enhancement processing image by adding the difference image multiplied by the coefficient and the X-ray image corresponding to the difference image.
- the emphasis processing image generation unit may narrow the window width of the enhancement processing image so that the object is emphasized.
- the X-ray diagnostic apparatus extracts an acquisition unit that acquires a plurality of time-series X-ray images relating to a subject, and an extraction unit that extracts components related to motion in each of the plurality of X-ray images. It is provided with an emphasis processing image generation unit that generates an enhancement processing image in which a moving object is emphasized in each of a plurality of X-ray images based on a component related to movement.
- the medical image processing method includes a step of acquiring a plurality of time-series X-ray images relating to a subject, an extraction step of extracting components related to motion in each of the plurality of X-ray images, and an extracted motion. It has a step of generating an enhanced image in which a moving object is emphasized in each of a plurality of X-ray images based on the components related to.
- This method can be applied to a medical image processing system equipped with a client and a server.
- each step of the medical image processing method is executed by either the client or the server.
- the medical image processing apparatus includes an acquisition unit, a representative value image generation unit, a difference image generation unit, and a emphasized image generation unit.
- the acquisition unit acquires a plurality of time-series X-ray images relating to the subject.
- the representative value image generation unit generates a representative value image in which each pixel has a representative value of the pixel value in the corresponding pixel of the plurality of X-ray images.
- the difference image generation unit generates a plurality of difference images in a time series by subtracting a representative value image from each of the plurality of X-ray images.
- the enhancement processing image generation unit adds the corresponding image of the plurality of difference images to each of the plurality of X-ray images, so that the object drawn in each of the plurality of difference images can be obtained. Generate multiple enhanced images in the enhanced time series.
- the medical image processing apparatus includes a representative value image generation unit, an acquisition unit, a difference image generation unit, and a emphasized image generation unit.
- the representative value image generation unit generates a representative value image in which each pixel has a representative value of the pixel value in the corresponding pixel of a plurality of collected time-series X-ray images.
- the acquisition unit sequentially acquires X-ray images of the subject.
- the difference image generation unit sequentially generates a difference image by subtracting a representative value image from the newly acquired X-ray image.
- the enhanced image generation unit sequentially generates an enhanced image in which the object drawn in the corresponding difference image is emphasized by adding the newly generated difference image to the corresponding X-ray image.
- the block diagram which shows one configuration example of the medical image processing system 1 including the medical image processing apparatus which concerns on 1st Embodiment.
- Explanatory drawing which shows an example of the X-ray image In before processing and the enhancement processing image ESIn.
- Explanatory drawing which shows an example of the enhancement process of the contrast medium drawn on the X-ray image of a head.
- the flowchart which shows an example of the procedure at the time of appropriately performing the enhancement process of the confirmation object of an X-ray image.
- the explanatory view which shows an example of the data flow in the case of combining the enhancement processing of the confirmation object of the X-ray image and the multi-frequency processing.
- the block diagram which shows one configuration example of the medical image processing system which includes the medical image processing apparatus which concerns on 2nd Embodiment.
- FIG. 1 is a block diagram showing a configuration example of a medical image processing system 1 including the medical image processing device 10 according to the first embodiment.
- the medical image processing system 1 includes a medical image processing device 10 and an X-ray diagnostic device 101.
- the medical image processing device 10 includes an input interface 11, a display 12, a storage circuit 13, a network connection circuit 14, and a processing circuit 15.
- the medical image processing device 10 is an example of a server.
- the input interface 11 is composed of general input devices such as a trackball, a switch button, a mouse, a keyboard, and a numeric keypad, and outputs an operation input signal corresponding to the user's operation to the processing circuit 15.
- the display 12 is composed of a general display output device such as a liquid crystal display or an OLED (Organic Light Emitting Diode) display.
- the storage circuit 13 has a configuration including, for example, a recording medium readable by a processor such as a RAM (Random Access Memory), a semiconductor memory element such as a flash memory, a hard disk, an optical disk, and the like, and is a program used by the processing circuit 15. And parameter data and other data are stored.
- a part or all of the program and data in the recording medium of the storage circuit 13 may be downloaded by communication via the network 100, or may be given to the storage circuit 13 via a portable storage medium such as an optical disk. You may.
- the network connection circuit 14 implements various information communication protocols according to the form of the network 100.
- the network connection circuit 14 connects to other electric devices via the network 100 according to the various protocols.
- Network 100 means a general information communication network using telecommunications technology, and in addition to wireless / wired LAN and Internet network such as hospital backbone LAN (Local Area Network), telephone communication line network, optical fiber communication network, and cable communication. Includes networks and satellite communications networks, etc.
- the medical image processing device 10 is connected to the X-ray diagnostic device 101 and the image server 102 so as to be able to transmit and receive data to each other via the network 100.
- the X-ray diagnostic apparatus 101 includes an X-ray angio apparatus, a breast X-ray imaging apparatus (mammography apparatus), an X-ray TV apparatus, and the like.
- the X-ray diagnostic apparatus 101 is an example of a client.
- the processing circuit 15 realizes a function of controlling the medical image processing device 10 in an integrated manner. Further, the processing circuit 15 is a processor that executes a process for appropriately performing the enhancement processing of the confirmation object drawn on the X-ray image by reading and executing the program stored in the storage circuit 13.
- FIG. 2 is a diagram for explaining conventional image processing for emphasizing a confirmation object such as a contrast medium or a catheter.
- image processing such as background compression, signal enhancement, and gradation conversion
- the shadow of the catheter 31 which is the object to be confirmed by the user is X-rayed.
- image processing such as gradation conversion. It ends up.
- the catheter 31 is difficult to confirm because it is obstructed by an unidentified object such as the bone 32 or the diaphragm 33.
- the processor of the processing circuit 15 extracts the confirmation object from the X-ray image In, and synthesizes the intermediate emphasized image in which the extracted confirmation object is emphasized with the X-ray image In, thereby drawing the image in the X-ray image In.
- An image in which the confirmed object is emphasized (hereinafter referred to as an emphasized image) is generated.
- the processor of the processing circuit 15 realizes the acquisition function 21, the motion suppression image generation function 22, the extraction function 23, and the enhancement processing image generation function 24.
- Each of these functions is stored in the storage circuit 13 in the form of a program.
- the X-ray image to be processed for the enhancement processing of the confirmation object may be an X-ray fluoroscopic image or is captured at a higher dose than the X-ray fluoroscopic image. It may be an X-ray photographed image.
- each function 21-24 is realized by the processing circuit 15 of the medical image processing device 10
- a part of these functions 21-24 of the medical image processing device 10 or All is realized by an external device having at least a processor and a storage circuit, independent of the medical image processing device 10, such as an in-hospital server connected to the network 100, a cloud console, a workstation, and an X-ray diagnostic device 101. You may.
- the medical image processing device 10 may be configured by a plurality of information processing devices connected to each other via a network 100, and each function 21-24 may be appropriately distributed and realized by the plurality of information processing devices.
- FIG. 3 is a diagram for explaining an example of a generation method in the post process of the enhanced image according to the present embodiment.
- the acquisition function 21 performs a plurality of time-series X-ray images I1, I2, ..., Obtained based on the X-ray imaging of the subject performed by the X-ray diagnostic apparatus 101. Get the IN (see the leftmost column in FIG. 3).
- the acquisition function 21 is an example of an acquisition unit.
- the motion suppression image generation function 22 is based on two or more of a plurality of time-series X-ray images I1, I2, ..., IN, and the components related to motion are derived from the plurality of X-ray images. Also produces a suppressed motion suppression image.
- the motion suppression image generation function 22 is an example of a motion suppression image generation unit and a representative value image generation unit.
- the motion suppression image A is based on two or more of a plurality of time-series X-ray images I1, I2, ..., IN, and each pixel is a pixel in the two or more X-ray images. It is an image (representative value image) having a representative value of a value.
- the catheter 31 is the subject's pulsation and respiration. At least one moves a lot in the image. In addition, when the subject moves, the entire image shifts between frames.
- the representative value for example, an average value or a median value can be used.
- FIG. 3 shows an example in which the motion suppression image generation function 22 generates an average value image A of all the X-ray images I1, I2, ..., IN as the motion suppression image A (left of FIG. 3). See the second row from the top).
- the pixel value A (i, j) of each pixel of the motion suppression image A (where i represents the x-coordinate of the pixel and j represents the y-coordinate) and the pixel value In (i, j) of each X-ray image In.
- the relationship with can be written as the following equation (1).
- the motion suppression image A may be a moving average image in which the frame range and the total number of frames are fixed, for example, a range from the frame to be processed to 20 frames before or a range of 10 frames before and after. In this case, it is possible to reduce the influence of the specific frame whose state has changed significantly during imaging on the motion suppression image A.
- the frame range and the total number of frames used for generating the motion suppression image A may use the set values stored in the storage circuit 13 in advance, or can be set by the user via the input interface 11.
- the setting may be changeable, and may correspond to one heartbeat of the subject, a number of heartbeats input by the user via the input interface 11, or a predetermined number of heartbeat periods recorded in the storage circuit 13. It may be set. At this time, in the real-time processing described later, it is preferable that the setting can be changed at any time by the user regardless of whether the X-ray irradiation is turned on or off.
- the extraction function 23 extracts the user's confirmation object from the X-ray image In.
- the extraction function 23 is an example of an extraction unit and a difference image generation unit.
- FIG. 3 shows an example in which the confirmation object is a catheter 31 that is inserted into the heart and moves with a pulsation.
- the extraction function 23 generates the confirmation object image Mn by generating the difference image between the X-ray image In and the motion suppression image A (see the lower row of the second column from the left in FIG. 3).
- the pixel value Mn (i, j) of each pixel of the confirmation object image Mn can be expressed by the following equation (2).
- the difference is calculated after the log conversion between the X-ray image In and the motion suppression image A. It may be very good, or it may be another subtraction method.
- the extraction function 23 may be used.
- the linear shadows of the past frame for example, the latest frame immediately before
- the frame to be processed information on the movement such as the movement amount and the movement direction between the frames of the confirmation target is related to the movement. It may be extracted as a component. In this case, it is not necessary to use the motion suppression image A and the motion suppression image generation function 22 is unnecessary in extracting the components related to the motion and generating the confirmation object image Mn.
- the enhancement processing image generation function 24 generates an enhancement processing image in which the confirmation object is emphasized in the X-ray image In based on the confirmation object image Mn, and displays it on the display 12.
- the enhancement processing image generation function 24 has a predetermined enhancement coefficient Ecoef greater than 0 (more preferably 1 or more) for each pixel of the confirmation object image Mn. .. To generate an intermediate weighted image EMn by multiplying. Emphasis coefficient Ecoef. When is greater than 1, the confirmation object is emphasized in the intermediate weighted image EMn. Emphasis coefficient Ecoef. When is less than 1, the confirmation object is not emphasized in the intermediate-weighted image EMn, but the confirmation object can be emphasized in the emphasis-processed image SIn described later.
- the catheter 31 extracted from the X-ray image In is emphasized (see the third column from the left in FIG. 3).
- the emphasis coefficient Ecoef. May use the set value stored in the storage circuit 13 in advance, or may be set by the user via the input interface 11 and may be changed. At this time, in the real-time processing described later, it is preferable that the setting can be changed at any time by the user regardless of whether the X-ray irradiation is turned on or off.
- the emphasis coefficient Ecoef. Is the SN ratio (signal-to-noise ratio) of the X-ray image In to be processed, the CN ratio (contrast-to-noise ratio) of the object to be confirmed, X-ray conditions such as tube voltage, tube current, and pulse width, and dose setting. It may be set automatically according to the image processing setting or the like. Even when the setting is automatically made in this way, the setting may be further changed by the user.
- the generation process of the intermediate-weighted image EMn is not indispensable, and the enhancement-processed image SIn described below may be generated by using the confirmation object image Mn instead of the intermediate-weighted image EMn. ..
- the weighting coefficient Ecoef is equivalent to emphasizing with 1 as 1.
- the enhancement processing image generation function 24 synthesizes the intermediate emphasis image EMn or the confirmation object image Mn and the X-ray image In which is the original image corresponding to the intermediate enhancement image EMn or the confirmation object image Mn.
- Emphasis processed image SIn is generated.
- the composition may be a simple addition or weighted average, or a weighted addition or weighted average.
- FIG. 3 shows an example in which the enhanced image SIn is generated by adding the intermediate emphasized image EMn and the X-ray image In (see the lower right column of FIG. 3).
- the pixel value SIn (i, j) of each pixel of the enhanced image SIn can be expressed by the following equation (4).
- the emphasis-processed image SIn is an image in which an intermediate-weighted image EMn in which the confirmation object is emphasized is combined with the X-ray image In. Therefore, as compared with the X-ray image In before processing and the image obtained by subjecting the X-ray image In to the conventional image processing, the enhanced image SIn emphasizes the confirmed object and suppresses the non-confirmed object. It is an image.
- the emphasis coefficient Ecoef. Is multiplied by. Therefore, when the contrast and noise of the confirmation object are set to the same level as the original image, the relationship between the window width WWpost and the window width WWpre of the original image in the window processing (gradation processing) of the enhanced image SIn is as follows. The condition of (5) is satisfied.
- the enhanced image SIn is an image that makes it easy to identify the confirmation target object.
- the enhancement processing image generation function 24 may generate an image ESIn in which the contrast of the confirmation object is further improved from the enhancement processing image SIn by narrowing the WWpost represented by the equation (5) (the most in FIG. 3). See the upper row in the right column).
- Contup has a value of 1 or more.
- FIG. 4 is an explanatory diagram showing an example of an X-ray image In before processing and an enhanced image ESIn.
- the catheter 31 of the X-ray image In is emphasized, while the unidentified objects bone 32 and diaphragm 33 are suppressed.
- the value of Control may be a set value stored in the storage circuit 13 in advance, or can be set by the user via the input interface 11, and is set by the user in consideration of contrast and noise. It may be changeable.
- the window center (window level) WC does not have to be changed when the non-confirmed object occupies most of the image. Further, when adding an offset to the entire pixel value in a system in which a negative value cannot be used as the final pixel value, a similar offset may be added to the window center.
- the acquisition function 21 obtains a plurality of time-series X-ray images I1, I2, ... Of the subject obtained based on the X-ray imaging of the subject executed by the X-ray diagnostic apparatus 101. , In is acquired from the X-ray diagnostic apparatus 101.
- the motion suppression image generation function 22 is a motion suppression image An in which components related to motion are suppressed based on two or more of a plurality of time-series X-ray images I1, I2, ..., In. To generate.
- the motion suppression image generation function 22 When the motion suppression image generation function 22 generates the average value image An of all the X-ray images I1, I2, ..., In acquired so far by real-time processing as the motion suppression image An, the motion suppression image An.
- the relationship between the pixel value An (i, j) of each pixel and the pixel value In (i, j) of each X-ray image In can be written by the following equation (7).
- the motion suppression image An is recalculated and updated every time an X-ray image of a new frame is acquired.
- the extraction function 23 generates the confirmation object image Mn by, for example, generating a difference image between the X-ray image In and the motion suppression image An according to the following equation (8).
- the enhanced images SIn and ESIn generated by the real-time processing also have the same effect as the enhanced images SIn and ESIn generated by the post process.
- the number of frames of the X-ray image used to generate the motion suppression image An is small, and afterimages of a plurality of catheters 31 may be drawn in the representative value image.
- the representative value image may not be a motion suppression image (an image in which motion is suppressed).
- the enhanced image SIn or ESIn and the original image In may be displayed at the same time. Further, after the start of the process, only the original image In is displayed up to a predetermined number of frames, and after the predetermined number of frames, the enhanced image SIn or ESIn and the original image In are displayed at the same time, or the enhanced image SIn is displayed. Or ESIn only display may be switched. Further, even in real-time processing, only the enhanced processed images SIn and ESIn may be displayed immediately after the start of processing. It is preferable that these display methods can be selected by the user.
- the weighting coefficient Ecoef is determined according to the number of frames after the start of real-time processing. May be changed to gradually increase.
- the motion suppression image A may be taken over and the processing may be continued regardless of whether the X-ray irradiation is on or off.
- X-ray irradiation is repeatedly turned on and off.
- the motion suppression image A created in the post process may be handed over to the next real-time processing for processing.
- FIG. 5 is a diagram for explaining the emphasis processing of the confirmation target object when the X-ray irradiation field is expanded and changed to a wide field of view, and then the position of the irradiation field is changed.
- the motion suppression image A generated before the change of the irradiation field can be used by acquiring the information about the irradiation field before and after the change from the X-ray diagnostic apparatus 101.
- the motion suppression image of the part of the irradiation field after the change that overlaps with the irradiation field before the change is enlarged or reduced. (Resize) or coordinate conversion can be used to generate a motion suppression image of the irradiation field after the change.
- the emphasis processing of the confirmation object according to the present embodiment can be applied to an X-ray image of a portion that is not affected by pulsation or respiratory movement.
- FIG. 6 is an explanatory diagram showing an example of the enhancement process of the contrast medium drawn on the X-ray image of the head.
- FIG. 6 shows an example in which the object to be confirmed by the user is a contrast medium.
- the motion suppression image generation function 22 generates the average value image A of all the X-ray images I1, I2, ..., IN as the motion suppression image A in the post process according to the equation (1). Also in this case, since the motion suppression image A is a representative value image, the influence of body movement is suppressed. Therefore, even when the extraction function 23 generates the confirmation object image Mn by, for example, the difference processing of the equation (2), no artifact due to misregistration occurs.
- the motion suppression image A is generated by using the X-ray image In + 1 or later in which the contrast medium has already reached the blood vessel to which the contrast medium has not yet reached. become.
- the route of the contrast medium (the route of the blood vessel) is extensively visualized in the motion suppression image A. Therefore, as shown in FIG. 6, the route 41 of the blood vessel, which is not stained by the X-ray image In, is extensively depicted in the enhanced image ESIn in which the flow of the contrast medium is emphasized as a movement. Therefore, the user can visually recognize the route of the blood vessel in advance by confirming the enhanced image ESIn, so that the flow of the contrast medium can be easily grasped.
- FIG. 7 is a flowchart showing an example of a procedure for appropriately performing the enhancement process of the confirmation object of the X-ray image.
- reference numerals with numbers attached to S indicate each step of the flowchart.
- FIG. 7 shows an example of processing in the post process.
- step S1 the acquisition function 21 obtains a plurality of time-series X-ray images I1, I2, and so on, which are obtained based on the X-ray imaging of the subject executed by the X-ray diagnostic apparatus 101. ⁇ , Get IN.
- step S2 the motion suppression image generation function 22 performs motion in which components related to motion are suppressed based on two or more of a plurality of time-series X-ray images I1, I2, ..., IN. A suppressed image A is generated.
- step S3 the extraction function 23 extracts the user's confirmation object from the X-ray image In and generates the confirmation object image Mn.
- the enhancement processing image generation function 24 has a predetermined enhancement coefficient Ecoef. Of 0 or more for each pixel of the confirmation object image Mn. By multiplying by, an intermediate weighted image EMn in which the confirmation object is emphasized is generated.
- step S5 the enhancement processing image generation function 24 generates an enhancement processing image SIn by synthesizing the intermediate emphasis image EMn and the corresponding original image X-ray image In.
- step S6 the enhancement processing image generation function 24 narrows the window width WW of the enhancement processing image SIn based on the WWpost shown in the equation (5), thereby narrowing the contrast of the object to be confirmed from the enhancement processing image SIn.
- the enhanced image ESIn which is further improved is generated.
- the enhancement process of the confirmation object of the X-ray image can be appropriately performed.
- the confirmation object is extracted from the X-ray image In, and the intermediate emphasized image EMn that emphasizes the extracted confirmation object is the X-ray image In.
- the intermediate emphasized image EMn that emphasizes the extracted confirmation object is the X-ray image In.
- the confirmed object is emphasized and the unconfirmed object is suppressed (see FIG. 4). Therefore, the user can accurately and quickly confirm even if the catheter 31 or the contrast medium, which is inserted into the heart and constantly moves by pulsation, is the object to be confirmed. For example, since the contrast medium can be emphasized in the enhanced image, even a small amount of the contrast medium can be confirmed firmly in the enhanced image. Therefore, the amount of contrast medium administered to the subject can be reduced. Further, in the case of real-time processing, the X-ray imaging time can be shortened, and the exposure dose of the subject can be reduced.
- the enhancement processing image generation function 24 may combine the enhancement processing of the confirmation object of the X-ray image with the processing using the spatial frequency.
- processing using spatial frequencies include multi-objective frequency processing and wavelet transform.
- FIG. 8 is an explanatory diagram showing an example of a data flow when the enhancement processing of the confirmation object of the X-ray image and the multi-frequency processing are combined.
- the processor of the processing circuit 15 further includes a frequency band data generation function 25, an enhancement processing function 26, and a frequency band data synthesis function 27. .. These configurations 25-27 may be implemented in software, hardware alone, or a mixture of hardware and software.
- the frequency band data synthesis function 27 may be included in the enhancement processing image generation function 24.
- the frequency band data generation function 25 converts the X-ray image In into a plurality of frequency band data. Specifically, the frequency band data generation function 25 generates a plurality of frequency band data and background data (for example, one background data) including a predetermined frequency band from the X-ray image In. For example, as shown in FIG. 8, the frequency band data generation function 25 performs LPF (Low Pass Filter) processing stepwise and differs from the LPF processed image one step before, so that different frequency bands are included. Generate multiple frequency band data.
- LPF Low Pass Filter
- the frequency band data generation function 25 first extracts low frequency data by applying LPF processing to the X-ray image In in the first stage LP ⁇ .
- the frequency band data generation function 25 may execute the downsampling process at LP ⁇ in order to speed up the subsequent processing.
- the frequency band data generation function 25 first thins out the pixels from the low frequency data after the LPF processing every other pixel in the horizontal direction, and then thins out the pixels every other pixel in the vertical direction to reduce the image size.
- the low resolution image data g1 reduced to 1/4 is generated.
- the frequency band data generation function 25 sends the low-resolution image data g1 to the second stage and executes the upsampling process and the LPF process in the LP ⁇ to perform the LPF process with the same size as the X-ray image In. Generate later low frequency data. For example, the frequency band data generation function 25 first complements the low-resolution image data g1 with "0" every other pixel in the horizontal direction, and then complements "0" every other pixel in the vertical direction. The LPF process in which each element of the first LPF is multiplied by 4 is executed. After that, the frequency band data generation function 25 generates frequency band data b0 by differentiating the X-ray image In and the low frequency data for each pixel by an adder. For the LPF treatment by the frequency band data generation function 25, a Gaussian filter of about 5 ⁇ 5 can be used.
- the frequency band data generation function 25 executes the processing of the second and subsequent stages in the same manner as the processing of the first stage described above.
- the image data to be processed in each stage is the low-resolution image data generated in the previous stage. That is, the image data to be processed in the second stage is the low resolution image data g1, and then the low resolution image data g2 to g5 generated in each stage are the image data to be processed in the subsequent stage.
- the frequency band data generation function 25 uses the low-resolution image data g2 to g5 in each stage to generate frequency band data b1 to b5 in the same manner as in the first stage.
- the frequency band data generation function 25 generates the stepwise frequency band data of the X-ray image In and the background data g6 in which the contained information is only the background.
- the frequency band data generation function 25 also generates the stepwise frequency band data of the motion suppression image A by performing the same processing as the X-ray image In for the motion suppression image A.
- the background data g6 does not have to be generated for either the X-ray image In or the motion suppression image A.
- FIG. 8 shows a case where the frequency band data generation function 25 executes 6-stage processing, but the embodiment is not limited to this, and processing can be performed with an arbitrary number of stages. is there.
- the emphasis processing function 26 controls the extraction function 23 to take the difference between the frequency band data of the X-ray image In and the frequency band data of the motion suppression image A between the corresponding frequency bands, so that the difference for each frequency band is obtained.
- Image data (hereinafter referred to as band difference image data) is generated.
- the ratio of signals of interest (the ratio of signals of moving components that are the objects to be confirmed) is considered to be different for each spatial frequency band. Therefore, the enhancement processing function 26 also obtains the ratio of the confirmation target object included in each of the plurality of band difference image data, and based on the ratio of the confirmation target object, for each of the plurality of band difference image data, each other. Independently, the emphasis coefficient Ecoef. To assign.
- the enhancement processing function 26 controls the enhancement processing image generation function 24 and assigns the enhancement coefficient Ecoef. To each of the plurality of band difference image data. Is used to generate intermediate-weighted image data for each of a plurality of frequency bands (hereinafter referred to as band intermediate-weighted image data). Further, the enhancement processing function 26 adds the band intermediate enhancement image data and the frequency band data of the X-ray image In between the corresponding frequency bands to enhance the enhancement processing image data for each frequency band (hereinafter, band enhancement processing image). Generate data). Further, image processing such as background compression, signal enhancement, and gradation conversion may be further applied to each of the band enhancement processed image data.
- the frequency band data synthesis function 27 synthesizes a plurality of band enhancement processed image data to generate an enhancement processing image SIn. Specifically, the frequency band data synthesis function 27 sequentially synthesizes the background data g6 and the band enhancement processed image data b0'to b5' to generate an enhancement processing image SIn having the same size as the X-ray image In. ..
- the frequency band data synthesis function 27 performs upsampling processing (first complementing "0" every other pixel in the horizontal direction) on the background data g6 in the LP ⁇ of the first stage (bottom of the figure), and then By executing the same LPF processing as the upsampling processing of the frequency band data generation function 25 by executing (complementing "0" every other pixel in the vertical direction), the background data g6 is band-enhanced image data b5'. Make it the same size as. Then, the frequency band data synthesis function 27 generates the addition data g5'by adding the band enhancement processed image data b5'and the background data g6 having the same size for each pixel by the adder.
- the frequency band data synthesis function 27 executes the above-mentioned upsampling process and LPF process on the generated addition data g5'to make the addition data g5'the same size as the band enhancement processing image data b4' and band emphasis. Addition data g4'is generated by adding to the processed image data b4'. Similarly, the frequency band data synthesis function 27 sequentially executes the size increase of the added data and the addition of the band-enhanced image data to make the enhanced image SIn emphasizing the confirmation object the same as the X-ray image In. Generate by size.
- the frequency band data synthesis function 27 may be a function of the enhancement processing image generation function 24.
- FIG. 9 is a block diagram showing a configuration example of the medical image processing system 1 including the medical image processing device 10 according to the second embodiment.
- the X-ray diagnostic apparatus 80 includes an imaging apparatus 81 that captures images of time-series N-frame X-ray images I1, I2, ..., IN relating to a subject, and a console apparatus as an example of a medical image processing apparatus 10. It is equipped with 82.
- the X-ray diagnostic apparatus 80 shown in the second embodiment is the first in that a plurality of time-series X-ray images I1, I2, ..., IN generated by X-ray imaging of a subject by itself can be used. It is different from the medical image processing apparatus 10 shown in the embodiment. Since other configurations and operations are not substantially different from those of the medical image processing apparatus 10 shown in FIG. 1, the same configurations are designated by the same reference numerals and description thereof will be omitted.
- the imaging device 81 is composed of, for example, an imaging system of an X-ray angio apparatus, and has an imaging system such as an X-ray tube and an X-ray detector for X-ray imaging of a subject placed on a top plate. A plurality of time-series projection data regarding the subject obtained by the above method are given to the console device 82.
- the acquisition function 21x of the processing circuit 15x acquires a plurality of time-series X-ray images I1, I2, ..., IN relating to the subject from the reconstruction function 20.
- the motion suppression image generation function 22x generates a motion suppression image A in which components related to motion are suppressed based on two or more of a plurality of time-series X-ray images I1, I2, ..., IN.
- the extraction function 23x extracts the user's confirmation object from the X-ray image In and generates the confirmation object image Mn.
- the enhancement processing image generation function 24x generates an enhancement processing image SIn or ESIn in which the confirmation object is emphasized in the X-ray image In based on the confirmation object image Mn, and displays it on the display of the console device 82.
- the medical image processing system 1 including the X-ray diagnostic apparatus 80 according to the second embodiment also extracts and extracts the confirmation object from the X-ray image In.
- the medical image processing system 1 including the X-ray diagnostic apparatus 80 according to the second embodiment also extracts and extracts the confirmation object from the X-ray image In.
- the intermediate emphasized image EMn that emphasizes the confirmation object with the X-ray image In it is possible to generate an emphasis processing image SIn that emphasizes the confirmation object drawn on the X-ray image In.
- the enhancement process of the confirmation object of the X-ray image can be appropriately performed.
- processor refers to, for example, a dedicated or general-purpose CPU (Central Processing Unit), a GPU (Graphics Processing Unit), or an integrated circuit for a specific application (Application Specific Integrated Circuit: ASIC). It shall mean a circuit such as a programmable logic device (for example, a simple programmable logic device (Simple Programmable Logic Device: SPLD), a compound programmable logic device (Complex Programmable Logic Device: CPLD), and an FPGA).
- SPLD Simple Programmable Logic Device
- CPLD Complex Programmable Logic Device
- FPGA field-programmable Programmable Logic Device
- the storage medium for storing the program may be provided individually for each processor, or one storage medium collectively stores the programs corresponding to the functions of all the processors. May be good.
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Abstract
Description
図1は、第1の実施形態に係る医用画像処理装置10を含む医用画像処理システム1の一構成例を示すブロック図である。
まず、ポストプロセスで時系列の複数のX線画像I1、I2、・・・、INのすべてが取得され、このうちのX線画像Inの強調処理画像を生成する場合について説明する。
次に、リアルタイム処理について説明する。以下、時系列の複数のX線画像I1、I2、・・・、In-1に続いて新たにX線画像Inが取得され、この新たに取得されたX線画像Inの強調処理画像を生成する場合について説明する。
図9は、第2の実施形態に係る医用画像処理装置10を含む医用画像処理システム1の一構成例を示すブロック図である。
Claims (17)
- 被検体に関する時系列の複数のX線画像を取得する取得部と、
動きに関する成分を、前記複数のX線画像のそれぞれにおいて抽出する抽出部と、
前記抽出した動きに関する成分にもとづいて、動きのある対象物を前記複数のX線画像のそれぞれにおいて強調した強調処理画像を生成する強調処理画像生成部と、
を備えた医用画像処理装置。 - 前記強調処理画像生成部は、
前記X線画像と前記抽出した動きに関する成分とを合成することにより前記強調処理画像を生成する、
請求項1記載の医用画像処理装置。 - 前記複数のX線画像のうちの2つ以上にもとづいて、動きに関する成分が前記複数のX線画像よりも抑制された動き抑制画像を生成する動き抑制画像生成部、
をさらに備え、
前記抽出部は、前記複数のX線画像の各々から前記動き抑制画像を差分することにより、前記複数のX線画像のそれぞれにおいて前記動きに関する成分を抽出する、
請求項1又は2に記載の医用画像処理装置。 - 前記動き抑制画像生成部は、
前記動き抑制画像として、前記複数のX線画像のうちの2つ以上の平均値画像または中央値画像を生成する、
請求項3記載の医用画像処理装置。 - 前記動き抑制画像生成部は、
X線照射がオンからオフになり、またオンに復帰した場合、オフになる前に生成された前記動き抑制画像とオンに復帰した後に撮像されたX線画像とにもとづいて前記動き抑制画像を更新する、
請求項3または4に記載の医用画像処理装置。 - 前記動き抑制画像生成部は、
前記被検体のX線撮像における照射野が変更されると、変更後の照射野のうち変更前の照射野と重複する部分については、変更前の照射野でX線撮像された前記複数のX線画像のうちの2つ以上にもとづく前記動き抑制画像を利用して、変更後の照射野の動き抑制画像を生成する、
請求項3ないし5のいずれか1項に記載の医用画像処理装置。 - 前記強調処理画像生成部は、
前記抽出した動きに関する成分に対して係数を乗算して中間強調画像を生成し、前記中間強調画像と前記X線画像とを合成することにより前記強調処理画像を生成する、
請求項2に記載の医用画像処理装置。 - 前記X線画像を複数の周波数帯域データに変換し、
前記抽出部と前記強調処理画像生成部と協調することにより、前記複数の周波数帯域データのそれぞれに対し、前記抽出した動きに関する成分の割合に応じて前記係数を割り当て、
割り当てた前記係数にもとづいて複数の周波数帯域ごとに前記中間強調画像の画像データを生成する、
強調処理部、
をさらに備え、
強調処理画像生成部は、
前記複数の周波数帯域ごとの前記中間強調画像の画像データにもとづいて、前記強調処理画像を生成する、
請求項7記載の医用画像処理装置。 - 前記強調処理画像生成部は、
前記対象物が強調されるよう前記強調処理画像のウィンドウ幅を狭める、
請求項1ないし8のいずれか1項に記載の医用画像処理装置。 - 前記動きは、前記被検体の拍動および呼吸動の少なくとも一方に由来する動き、ならびに、前記対象物が前記被検体内を移動する場合は当該対象物の移動に由来する動き、の少なくとも一方を含む、
請求項1ないし9のいずれか1項に記載の医用画像処理装置。 - 被検体に関する時系列の複数のX線画像を取得する取得部と、
前記時系列の複数のX線画像のうちの2つ以上にもとづいて、動きに関する成分が抑制された動き抑制画像を生成する動き抑制画像生成部と、
前記時系列の複数のX線画像の少なくとも1つと前記動き抑制画像との差分処理により差分画像を生成する差分画像生成部と、
生成された前記差分画像と前記差分画像に対応する前記X線画像とを加算することにより前記差分画像に描出された対象物の強調処理画像を生成する強調処理画像生成部と、
を備えた医用画像処理装置。 - 被検体に関する時系列の複数のX線画像を取得する取得部と、
前記時系列の複数のX線画像のうちの2つ以上にもとづいて、各画素が当該2つ以上のX線画像における画素値の代表値である代表値画像を生成する代表値画像生成部と、
前記時系列の複数のX線画像の少なくとも1つと前記代表値画像との差分処理により差分画像を生成する差分画像生成部と、
生成された前記差分画像と前記差分画像に対応する前記X線画像とを加算することにより前記差分画像に描出された対象物の強調処理画像を生成する強調処理画像生成部と、
を備えた医用画像処理装置。 - 前記強調処理画像生成部は、
係数を乗算した前記差分画像と、前記差分画像に対応する前記X線画像とを加算することにより、前記強調処理画像を生成する、
請求項11または12に記載の医用画像処理装置。 - 前記強調処理画像生成部は、
前記対象物が強調されるよう前記強調処理画像のウィンドウ幅を狭める、
請求項11ないし13のいずれか1項に記載の医用画像処理装置。 - 被検体に関する時系列の複数のX線画像を取得する取得部と、
動きに関する成分を、前記複数のX線画像のそれぞれにおいて抽出する抽出部と、
前記抽出した動きに関する成分にもとづいて、動きのある対象物を前記複数のX線画像のそれぞれにおいて強調した強調処理画像を生成する強調処理画像生成部と、
を備えたX線診断装置。 - 被検体に関する時系列の複数のX線画像を取得するステップと、
動きに関する成分を、前記複数のX線画像のそれぞれにおいて抽出する抽出ステップと、
前記抽出した動きに関する成分にもとづいて、動きのある対象物を前記複数のX線画像のそれぞれにおいて強調した強調処理画像を生成するステップと、
を有する医用画像処理方法。 - 前記複数のX線画像を取得するステップは、
クライアントと、サーバとを備えた医用画像処理システムの前記クライアントおよび前記サーバのいずれかにより実行され、
前記動きに関する成分を抽出するステップは、
前記クライアントおよび前記サーバのいずれかにより実行され、
前記強調処理画像を生成するステップは、
前記クライアントおよび前記サーバのいずれかにより実行される、
請求項16記載の医用画像処理方法。
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| PCT/JP2020/031427 Ceased WO2021033741A1 (ja) | 2019-08-22 | 2020-08-20 | 医用画像処理装置、x線診断装置、および医用画像処理方法 |
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| US (1) | US20220172361A1 (ja) |
| EP (1) | EP4020381A4 (ja) |
| JP (1) | JP2026012315A (ja) |
| WO (1) | WO2021033741A1 (ja) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US12524833B2 (en) * | 2021-08-17 | 2026-01-13 | Canon Medical Systems Corporation | X-ray diagnosis apparatus, medical image processing apparatus, and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002333974A (ja) * | 2001-05-10 | 2002-11-22 | Fuji Photo Film Co Ltd | 画像処理方法および装置 |
| JP2013111227A (ja) * | 2011-11-29 | 2013-06-10 | Toshiba Corp | X線画像診断装置 |
| WO2014192504A1 (ja) * | 2013-05-31 | 2014-12-04 | コニカミノルタ株式会社 | 画像処理装置及びプログラム |
| JP2018083010A (ja) * | 2016-11-25 | 2018-05-31 | コニカミノルタ株式会社 | 動態画像処理装置 |
Family Cites Families (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020085667A1 (en) * | 2000-12-28 | 2002-07-04 | Christopher Miller | Method and apparatus for automatic offset correction in digital flouroscopic X-ray imaging systems |
| DE102006002037A1 (de) * | 2006-01-16 | 2007-07-19 | Siemens Ag | Verfahren zur Bearbeitung diagnostischer Bilddaten |
| JP5645399B2 (ja) * | 2009-12-18 | 2014-12-24 | キヤノン株式会社 | X線画像処理装置、x線画像処理方法、及びコンピュータプログラム |
| JP5956711B2 (ja) * | 2010-06-04 | 2016-07-27 | 東芝メディカルシステムズ株式会社 | X線撮影装置 |
| US10085706B2 (en) * | 2013-11-19 | 2018-10-02 | Samsung Electronics Co., Ltd. | X-ray imaging apparatus and method of controlling the same |
| JP2016019724A (ja) * | 2014-06-19 | 2016-02-04 | 株式会社東芝 | X線診断装置 |
| KR102301942B1 (ko) * | 2015-04-29 | 2021-09-16 | (주)바텍이우홀딩스 | 엑스선 촬영 장치 및 방법 |
| KR20160139163A (ko) * | 2015-05-27 | 2016-12-07 | 삼성전자주식회사 | 엑스선 장치 및 그 제어방법 |
| JP6707320B2 (ja) * | 2015-06-01 | 2020-06-10 | キヤノンメディカルシステムズ株式会社 | 画像処理装置およびx線診断装置 |
| US10147171B2 (en) * | 2016-09-21 | 2018-12-04 | General Electric Company | Systems and methods for generating subtracted images |
| JP6933016B2 (ja) * | 2017-06-22 | 2021-09-08 | コニカミノルタ株式会社 | 放射線画像撮影システム |
| US20200305828A1 (en) * | 2019-03-27 | 2020-10-01 | Shimadzu Corporation | Radiation Image Processing Apparatus and Radiation Image Processing Method |
| US11087464B2 (en) * | 2019-06-27 | 2021-08-10 | Wisconsin Alumni Research Foundation | System and method for motion-adjusted device guidance using vascular roadmaps |
-
2020
- 2020-08-20 WO PCT/JP2020/031427 patent/WO2021033741A1/ja not_active Ceased
- 2020-08-20 EP EP20853749.8A patent/EP4020381A4/en active Pending
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- 2022-02-17 US US17/651,445 patent/US20220172361A1/en active Pending
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2025
- 2025-10-29 JP JP2025182512A patent/JP2026012315A/ja active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002333974A (ja) * | 2001-05-10 | 2002-11-22 | Fuji Photo Film Co Ltd | 画像処理方法および装置 |
| JP2013111227A (ja) * | 2011-11-29 | 2013-06-10 | Toshiba Corp | X線画像診断装置 |
| WO2014192504A1 (ja) * | 2013-05-31 | 2014-12-04 | コニカミノルタ株式会社 | 画像処理装置及びプログラム |
| JP2018083010A (ja) * | 2016-11-25 | 2018-05-31 | コニカミノルタ株式会社 | 動態画像処理装置 |
Non-Patent Citations (1)
| Title |
|---|
| See also references of EP4020381A4 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US12524833B2 (en) * | 2021-08-17 | 2026-01-13 | Canon Medical Systems Corporation | X-ray diagnosis apparatus, medical image processing apparatus, and storage medium |
Also Published As
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|---|---|
| EP4020381A1 (en) | 2022-06-29 |
| EP4020381A4 (en) | 2023-02-01 |
| US20220172361A1 (en) | 2022-06-02 |
| JP2026012315A (ja) | 2026-01-23 |
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