CN120114039A - A data processing method and system for voice function assessment - Google Patents
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Abstract
The invention relates to the technical field of medical data processing, in particular to a data processing method and a system for voice function evaluation, which are characterized in that when a chest CT image of an object to be evaluated is processed, the object to be evaluated is classified according to the vital capacity data of the object to be evaluated, for the object to be evaluated with larger vital capacity, the CT image of the object to be evaluated is subjected to chest volume calculation by adopting an instrument self-contained program, and for the object to be evaluated with smaller lung capacity, the object to be evaluated is subjected to three-dimensional reconstruction by adopting an improved volume rendering algorithm, so that the chest volume calculation is realized, the accuracy and the efficiency of the chest volume calculation are improved, and the accuracy of voice function evaluation is improved.
Description
Technical Field
The invention relates to the technical field of medical data processing, in particular to a data processing method and system for voice function evaluation.
Background
The vocal activity of humans relies on vocal cord vibration, which is similar to an energy converter, to convert a portion of the kinetic energy of the gas passing through the glottis into acoustic energy that is disseminated orally. The interaction between the airflow and the vocal cords, the airflow acts on the vocal cords to cause the glottis to present regular opening and closing under the influence of the Bernoulli effect, which is called a glottic cycle, and the vocal cords act on the airflow to cause pressure, airflow speed and airflow direction to change up and down through the glottis. The relationship between vocal cords and air flow is disturbed in pathological conditions, so that the voice quality is changed. Along with the change of social life, people have higher and higher requirements on communication and exchange in social interaction, and the quality of voice functions directly relates to personal images and even professional selection.
In the prior art, a technical scheme for evaluating voice functions exists, for example, chinese patent application (CN 114373452A) discloses a voice abnormality recognition and evaluation method based on deep learning. According to the voice evaluation method, the voice function is evaluated only through voice audio data, so that voice function evaluation accuracy is low, nursing staff cannot timely identify voice disorder high risk groups in a nursing process, meanwhile, the technical scheme of voice evaluation through taking chest volume as an evaluation parameter in voice evaluation exists in the prior art, and then accuracy and efficiency are not as good as expected in chest volume acquisition.
Disclosure of Invention
In view of the above, the present invention provides a data processing method and system for voice function evaluation, which are used for improving accuracy and efficiency in voice evaluation.
In order to achieve the above object, there is provided a data processing method for voice function evaluation, the method comprising the steps of:
S1, acquiring a chest cavity CT image of voice function evaluation of an object to be evaluated;
S2, acquiring vital capacity data of an object to be evaluated;
S3, performing image processing operation on the chest CT image according to the vital capacity data of the object to be evaluated to obtain the chest volume of the object to be evaluated;
the step S3 is specifically as follows:
s3.1, comparing the vital capacity data of the object to be evaluated with a first preset value, if the vital capacity data is larger than the first preset value, entering S3.2, otherwise entering S3.3;
s3.2, acquiring the chest cavity volume of the object to be evaluated by adopting a first chest cavity volume acquisition method;
And S3.3, acquiring the thoracic cavity volume of the object to be evaluated by adopting a second thoracic cavity volume acquisition method.
Preferably, the first chest cavity volume acquisition method specifically comprises the steps of performing three-dimensional reconstruction on the CT image of the object to be evaluated by adopting a volume reproduction function of a GEAW 4.6.6 workstation, and then realizing chest cavity volume acquisition of the object to be evaluated by adopting a volume measurement function of the workstation.
Preferably, the second chest volume acquisition method is specifically:
S3.3.1 performing three-dimensional reconstruction on the chest CT image of the object to be evaluated;
s3.3.2 calculating the chest volume of the subject to be evaluated from the three-dimensional reconstructed chest image.
Preferably, the chest CT image is three-dimensionally reconstructed using a modified volume rendering algorithm.
Preferably, the three-dimensional reconstruction of the thoracic CT image using an improved volume rendering algorithm is specifically:
sa, acquiring a three-dimensional reconstruction adjustment coefficient of an object to be evaluated;
Sb, adjusting the sampling interval of light projection in the volume rendering algorithm according to the adjusting coefficient;
and Sc, realizing three-dimensional reconstruction of the chest CT image according to the adjusted sampling interval.
Preferably, in the step S1, a 64-row high-speed spiral CT machine is used to measure CT images of the chest cavity of the subject to be evaluated.
Preferably, in the step S1, the subject to be evaluated is in a supine position during sampling, and CT rapid spiral scanning is performed from the top of the trachea to the diaphragm muscle during deep inhalation of the subject to be evaluated for end breath-hold, the balloon voltage is 120kV, the tube current is 120mA, the scanning speed is 0.5S/week, the collimator width is 10mm, the pitch is 1.375, the image reconstruction layer thickness is 1.25mm, and the interval is 1.25mm.
Preferably, the lung capacity of the subject to be evaluated is measured using a Kai-Biget speech aerodynamics system.
Preferably, the mask of the Kai-Bin speech sound emission aerodynamic system is connected with a mask connector, the object to be evaluated is informed of carrying out maximum inhalation and then holding a handle, the mask is fastened on the face of the object to be evaluated and covers the mouth and the nose completely, no gap exists to enable gas in the mask to overflow, and after the gas flow collection device of the Kai-Bin speech sound emission aerodynamic system is started, the gas flow collection device best exhales into the mask, the display of the Kai-Bin speech sound emission aerodynamic system presents gas flow images with the flow speed and the time as coordinate axes, and the average is repeatedly carried out three times.
According to another aspect of the present invention, there is provided a data processing system for voice function evaluation, the system employing a data processing method for voice function evaluation as described above, the system comprising:
The thoracic image acquisition module is used for acquiring thoracic CT images of voice function evaluation of the object to be evaluated;
The vital capacity data acquisition module is used for acquiring the vital capacity data of the object to be evaluated;
and the thoracic cavity volume calculation module is used for carrying out image processing operation on the thoracic cavity CT image according to the vital capacity data of the object to be evaluated to obtain the thoracic cavity volume of the object to be evaluated.
The invention has the advantages and beneficial effects that:
When the chest CT image of the object to be evaluated is processed, the object to be evaluated is classified according to the vital capacity data of the object to be evaluated, for the object to be evaluated with larger vital capacity, the CT image of the object to be evaluated is subjected to chest volume calculation by adopting an instrument self-contained program, for the object to be evaluated with smaller vital capacity, the object to be evaluated is subjected to three-dimensional reconstruction by adopting an improved volume rendering algorithm, and then the chest volume calculation is realized, so that the accuracy and the efficiency of the chest volume calculation are improved, and the method is beneficial to timely identifying voice disorder high risk groups by nursing staff in a nursing process, and establishing a targeted rehabilitation intervention strategy.
Meanwhile, the volume rendering algorithm for calculating the chest volume is improved, the three-dimensional reconstruction adjusting coefficient is introduced, namely, the reconstruction process of the object to be evaluated is adjusted according to the lung capacity of the object to be evaluated, namely, the sampling interval of light projection is adjusted through the three-dimensional reconstruction adjusting coefficient, namely, for the object to be evaluated with small lung capacity, the smaller sampling interval is set through the three-dimensional reconstruction adjusting coefficient, and for the object to be evaluated with large lung capacity, the larger sampling interval is set through the three-dimensional reconstruction adjusting coefficient, so that the self-adaptive three-dimensional reconstruction method is adopted for different types of objects to be evaluated, and the three-dimensional reconstruction efficiency is further improved.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the drawings used in the description of the invention or the prior art will be briefly described, it being obvious that the drawings in the description below are some embodiments of the invention, and that other drawings can be obtained from these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a data processing method for voice function evaluation according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a spirometric measurement of an object under evaluation according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a data processing system for voice function evaluation according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, a data processing method for voice function evaluation, the method comprising the steps of:
S1, acquiring a chest cavity CT image of voice function evaluation of an object to be evaluated;
CT (Computed Tomography), i.e., electron computer tomography. The X-ray beam, Y-ray beam, ultrasonic wave, etc. are used to scan the cross section around a part of human body together with the detector with very high sensitivity.
In the embodiment, a 64-row high-speed spiral CT machine of the American GE company is adopted to measure the chest CT image of the object to be evaluated, the 64-row high-speed spiral CT machine measuring technology has very strong image scanning capability, can clearly and accurately image and establish a three-dimensional image of the chest, so that researchers can observe and measure at all angles and directions, wherein rights, obligations, notes, matching points and the like of the object to be evaluated are informed before the test, the question of the object to be evaluated is answered, and an informed consent is signed on the basis of consent of the object to be evaluated;
Before CT scanning, the object to be evaluated receives deep inspiration end breath-hold training to assist the object to be evaluated to take a supine position, and CT rapid spiral scanning is carried out from the top end of a trachea to diaphragm muscle when the object to be evaluated deeply inhales end breath-hold, tube ball voltage is 120kV, tube current is 120mA, scanning speed is 0.5 s/week, collimator width is 10mm, pitch is 1.375, image reconstruction layer thickness is 1.25mm, and interval is 1.25mm.
S2, acquiring vital capacity data of an object to be evaluated;
In the embodiment, a Kai-Bin speech sound aerodynamic system (Phonatory Aerodynamic System, PAS) is adopted to measure the vital capacity of an object to be evaluated, the right, obligation, notice, matching key points and the like of the object to be evaluated are informed before the test, the question of a subject is answered, and an informed consent is signed on the basis of consent of the object to be evaluated;
Specifically, a mask of a Kai-Biget speech sound aerodynamic system is connected with a mask connector, the mask is closed to the face of the object to be evaluated after maximum inspiration is carried out, then a handle is held by hand, the mask is fastened to the face of the object to be evaluated, the mouth and the nose are covered completely, no gap exists, gas in the mask can be overflowed, and then the air in the mask is best expired after an air flow collecting device of the Kai-Biget speech sound aerodynamic system is started, an air flow image with the flow speed and the time as coordinate axes is presented on a display of the Kai-Biget speech sound aerodynamic system, and the average is repeatedly carried out three times, wherein, figure 2 shows a vital capacity measurement schematic diagram of the object to be evaluated, the abscissa is time(s), the ordinate is the respiratory air flow speed (L/s), and the vital capacity data of the object to be evaluated is calculated through the respiratory air flow speed curve and the abscissa surrounding area.
S3, performing image processing operation on the chest CT image according to the vital capacity data of the object to be evaluated to obtain the chest volume of the object to be evaluated;
In the embodiment, the chest volume data can acquire more accurate results by requiring a complex image processing program, and the acquisition modes of the chest volumes are different and the acquisition accuracy of the chest volume values is different, so in the embodiment, firstly, the lung volume data of the object to be evaluated is acquired, and a proper chest volume acquisition method is selected according to the lung volume data of the object to be evaluated, thereby realizing the accuracy of the chest volume data acquisition;
Specifically, the S3 specifically is:
s3.1, comparing the vital capacity data of the object to be evaluated with a first preset value, if the vital capacity data is larger than the first preset value, entering S3.2, otherwise entering S3.3;
wherein the first preset value is determined according to the age and sex of the object to be evaluated;
for example, if the patient is young male, the first preset value is 3500ml, and if the patient is young female, the first preset value is 3000ml, wherein the lung capacity is not in the scope of the present discussion due to large fluctuation for children and old people;
s3.2, acquiring the chest cavity volume of the object to be evaluated by adopting a first chest cavity volume acquisition method;
the first chest cavity volume acquisition method specifically comprises the steps of performing three-dimensional reconstruction on a CT image of the object to be evaluated by adopting a volume reproduction function of a GEAW4.6 workstation, and then realizing chest cavity volume acquisition of the object to be evaluated by adopting a volume measurement function of the workstation;
through the steps, for an object to be evaluated with a large chest cavity volume, the influence of an image acquisition error is small, and the influence of an air pipe, a diaphragm and the like on the chest cavity edge is small, so that accurate chest cavity volume data can be obtained by adopting software of CT equipment, and the data acquisition efficiency is improved.
S3.3, acquiring the chest cavity volume of the object to be evaluated by adopting a second chest cavity volume acquisition method;
When the lung capacity of the object to be evaluated is smaller, it may indicate that a certain problem exists in the chest cavity, such as effusion, and the like, which has a certain influence on the accurate acquisition of the chest cavity volume, and a larger error is generated when the chest cavity volume data is processed by adopting a processing program of the instrument, so in the embodiment, the chest cavity volume of the object to be evaluated is acquired by adopting a second chest cavity volume acquisition method;
Wherein, the S3.3 specifically comprises:
S3.3.1 performing three-dimensional reconstruction on the chest CT image of the object to be evaluated;
In the step, a 64-row high-speed spiral CT machine is adopted to measure CT images of the thoracic cavity of the object to be evaluated, so that a plurality of CT images aiming at the thoracic cavity of the object to be evaluated can be obtained, if the thoracic cavity volume of the object to be evaluated needs to be accurately obtained, three-dimensional reconstruction operation is needed to be carried out on the thoracic cavity images by means of the CT images so as to restore the structure and the coordinates of the thoracic cavity, and further detection of the thoracic cavity volume is realized;
In the embodiment, an improved volume rendering algorithm is adopted to reconstruct the thoracic cavity CT image in three dimensions;
The method mainly comprises the steps of constructing an idealized model according to an imaging principle of human vision, namely, taking each voxel in a three-dimensional data field as a particle capable of receiving or emitting light, properly distributing illumination intensity and opacity percentage according to attributes of the model and the voxel, integrating along a sight line direction, and forming a corresponding projection image on an image plane, wherein the algorithm needs to carry out projection processing on all voxels by adopting a light projection algorithm, namely, the two-dimensional CT image is essentially constructed into three-dimensional space data, then carrying out gray value traversal operation on all numerical values in the three-dimensional space data, then setting a scattering light source, traversing the whole three-dimensional space data by adopting a light projection method, recording voxel points with the same gray value in the process, then giving color values to each sampling point, and synthesizing each sampling point with the same gray value into visual information to realize three-dimensional reconstruction;
In the embodiment, when the volume rendering algorithm is applied to reconstructing a three-dimensional chest image, the volume rendering algorithm is improved to improve the efficiency of reconstructing the image of the volume rendering algorithm, wherein the three-dimensional reconstruction of the CT chest image by adopting the improved volume rendering algorithm specifically comprises the following steps of:
sa, acquiring a three-dimensional reconstruction adjustment coefficient of an object to be evaluated;
Wherein the adjustment coefficient is the ratio of the vital capacity value of the object to be evaluated to a standard vital capacity value;
wherein the standard vital capacity value is determined according to the age of the subject to be evaluated;
Sb, adjusting the sampling interval of light projection in the volume rendering algorithm according to the adjusting coefficient;
In the prior art, the technical scheme for adjusting the sampling interval of the light projection is that the sampling interval is changed according to the distance between the voxel data and the light source point, the algorithm improves the three-dimensional reconstruction efficiency to a certain extent, but the influence of different types of CT images in the three-dimensional reconstruction process is not considered, and the three-dimensional reconstruction efficiency is also influenced;
Therefore, in this embodiment, the three-dimensional reconstruction adjustment coefficient is introduced, that is, the reconstruction process of the object to be evaluated is adjusted according to the lung capacity of the object to be evaluated, that is, the sampling interval of the light projection is adjusted through the three-dimensional reconstruction adjustment coefficient, that is, for the object to be evaluated with small lung capacity, the smaller sampling interval is set through the three-dimensional reconstruction adjustment coefficient, and for the object to be evaluated with large lung capacity, the larger sampling interval is set through the three-dimensional reconstruction adjustment coefficient, so that the self-adaptive three-dimensional reconstruction method is adopted for different types of objects to be evaluated, and the three-dimensional reconstruction efficiency is further improved;
Sc, realizing three-dimensional reconstruction of the chest CT image according to the adjusted sampling interval;
s3.3.2 calculating the chest cavity volume of the object to be evaluated according to the three-dimensional reconstructed chest cavity image;
the three-dimensional reconstruction can be used for obtaining a three-dimensional image of the chest cavity volume of the object to be evaluated, and the calculation of the chest cavity volume of the object to be evaluated can be realized.
In step S3, the obtained thoracic cavity volume is used for evaluating the voice function of the object to be evaluated, that is, the voice function of the object to be evaluated is reflected by thoracic cavity resonance energy, then the voice function is evaluated by using a fitting relation between thoracic cavity volume and thoracic cavity resonance energy, by the technical scheme of the embodiment, a nursing staff can identify a high risk group of voice disorder in time during nursing, and formulate a targeted rehabilitation intervention strategy, meanwhile, the scheme of the embodiment can also be used in emergency treatment and ICU treatment, for example, when in tracheal intubation, voice disorder of a patient is possibly damaged, and partial cerebral infarction and cerebral hemorrhage sequelae also need voice evaluation.
In a second embodiment, as shown in fig. 3, the present embodiment includes a data processing system for voice function evaluation, where the system adopts a data processing method for voice function evaluation according to the first embodiment, and the system includes:
The thoracic image acquisition module is used for acquiring thoracic CT images of voice function evaluation of the object to be evaluated;
The vital capacity data acquisition module is used for acquiring the vital capacity data of the object to be evaluated;
and the thoracic cavity volume calculation module is used for carrying out image processing operation on the thoracic cavity CT image according to the vital capacity data of the object to be evaluated to obtain the thoracic cavity volume of the object to be evaluated.
In a third embodiment, the present embodiment includes a computer-readable storage medium having a data processing program stored thereon, the data processing program being executed by a processor to perform a data processing method for voice function evaluation of the first embodiment.
It will be apparent to one of ordinary skill in the art that embodiments herein may be provided as a method, apparatus (device), or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Including but not limited to RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer, and the like. Furthermore, as is well known to those of ordinary skill in the art, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media.
The description herein is with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices) and computer program products according to embodiments herein. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
The above examples and/or embodiments are merely for illustrating the preferred embodiments and/or implementations of the present technology, and are not intended to limit the embodiments and implementations of the present technology in any way, and any person skilled in the art should be able to make some changes or modifications to the embodiments and/or implementations without departing from the scope of the technical means disclosed in the present disclosure, and it should be considered that the embodiments and implementations are substantially the same as the present technology. Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (10)
1. A data processing method for voice function evaluation, the method comprising the steps of:
S1, acquiring a chest cavity CT image of voice function evaluation of an object to be evaluated;
S2, acquiring vital capacity data of an object to be evaluated;
S3, performing image processing operation on the chest CT image according to the vital capacity data of the object to be evaluated to obtain the chest volume of the object to be evaluated;
the step S3 is specifically as follows:
s3.1, comparing the vital capacity data of the object to be evaluated with a first preset value, if the vital capacity data is larger than the first preset value, entering S3.2, otherwise entering S3.3;
s3.2, acquiring the chest cavity volume of the object to be evaluated by adopting a first chest cavity volume acquisition method;
And S3.3, acquiring the thoracic cavity volume of the object to be evaluated by adopting a second thoracic cavity volume acquisition method.
2. The data processing method for voice function evaluation according to claim 1, wherein the first chest cavity volume acquisition method specifically comprises three-dimensional reconstruction of the CT image of the object to be evaluated by using a volume rendering function of GEAW 4.6.6 workstation, and then realizing chest cavity volume acquisition of the object to be evaluated by using a volume measurement function of the workstation.
3. The method for data processing for voice function assessment according to claim 1, wherein the second chest volume acquisition method is specifically:
S3.3.1 performing three-dimensional reconstruction on the chest CT image of the object to be evaluated;
s3.3.2 calculating the chest volume of the subject to be evaluated from the three-dimensional reconstructed chest image.
4. A data processing method for voice function assessment according to claim 3, wherein said chest CT image is three-dimensionally reconstructed using a modified volume rendering algorithm.
5. The data processing method for voice function assessment according to claim 4, wherein the three-dimensional reconstruction of the chest CT image using the modified volume rendering algorithm is specifically:
sa, acquiring a three-dimensional reconstruction adjustment coefficient of an object to be evaluated;
Sb, adjusting the sampling interval of light projection in the volume rendering algorithm according to the adjusting coefficient;
and Sc, realizing three-dimensional reconstruction of the chest CT image according to the adjusted sampling interval.
6. The data processing method for voice function evaluation according to claim 1, wherein in S1, a 64-row high-speed spiral CT machine is used to measure CT images of the chest cavity of the subject to be evaluated.
7. The data processing method for voice function evaluation according to claim 6, wherein in S1, the subject to be evaluated takes a supine position during sampling, and CT fast helical scan is performed from the tip of the trachea to the diaphragm muscle during the end of deep inhalation of the subject to be evaluated, the balloon voltage is 120kV, the tube current is 120mA, the scan speed is 0.5S/week, the collimator width is 10mm, the pitch is 1.375, the image reconstruction layer thickness is 1.25mm, and the interval is 1.25mm.
8. The method for voice function assessment according to claim 7, wherein the lung capacity of the subject to be assessed is measured using a kayi-bingo speech aerodynamics system.
9. The data processing method for voice function assessment according to claim 8, wherein a mask of the kayi-bingo speech sounding aerodynamic system is connected to a mask connector, the subject to be assessed is prescribed to take a breath hold after maximum inspiration, then a handle is held by hand, the mask is fastened on the face of the subject to be assessed and fully covers the mouth and nose, no gap is left to overflow the gas in the mask, and after the gas flow collection device of the kayi-bingo speech sounding aerodynamic system is started, a gas flow image with a flow rate and time as coordinate axes is presented on a display of the kayi-bingo speech sounding aerodynamic system, and the average is repeatedly performed three times.
10. A data processing system for voice function assessment, the system employing a data processing method for voice function assessment according to any one of claims 1 to 9, the system comprising:
The thoracic image acquisition module is used for acquiring thoracic CT images of voice function evaluation of the object to be evaluated;
The vital capacity data acquisition module is used for acquiring the vital capacity data of the object to be evaluated;
and the thoracic cavity volume calculation module is used for carrying out image processing operation on the thoracic cavity CT image according to the vital capacity data of the object to be evaluated to obtain the thoracic cavity volume of the object to be evaluated.
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