A data processing method and system for voice function evaluation

Abstract

The present invention relates to the technical field of medical data processing, and particularly to a data processing method and system for voice function evaluation. When processing the chest CT image of the object to be evaluated, the present invention first classifies the object to be evaluated according to the vital capacity data of the object to be evaluated. For the object to be evaluated with a large vital capacity, the instrument's built-in program is used to calculate the chest volume of the CT image of the object to be evaluated. For the object to be evaluated with a small vital capacity, an improved volume rendering algorithm is used to perform three-dimensional reconstruction on the object to be evaluated, and then the chest volume calculation is realized. In this way, the accuracy and efficiency of the chest volume calculation are improved, thereby enhancing the accuracy of the voice function evaluation.

Description

Technical Field

[0001] The present invention relates to the technical field of medical data processing, and in particular to a data processing method and system for voice function evaluation. Background Art

[0002] Human vocal activities rely on vocal cord vibration. The vocal cords are similar to an energy converter, which converts a part of the kinetic energy of the gas passing through the glottis into sound energy disseminated through the mouth. There is an interaction between the airflow and the vocal cords. The airflow acts on the vocal cords, and under the influence of the Bernoulli effect, the glottis presents regular opening and closing, which is called the glottal cycle; the vocal cords act on the airflow, causing changes in pressure, airflow velocity, and airflow direction above and below the glottis. Under pathological conditions, the relationship between the vocal cords and the airflow is disordered, resulting in changes in voice quality. With the changes in social life, people have higher and higher requirements for communication and interaction in social intercourse. The quality of voice function is directly related to personal image and even career choice.

[0003] There are technical solutions for voice function evaluation in the prior art. For example, Chinese invention patent (CN114373452A) discloses a method for identifying and evaluating voice abnormalities based on deep learning. The present invention automatically identifies the voiced part of the acquired human voice audio, generates a standardized voice segment, extracts the Mel spectrogram, trains a deep learning model and uses it to judge new data, and combines the prediction results of each segment to finally realize the function of identifying and evaluating voice abnormalities; however, the above solution only evaluates the voice function through voice audio data, resulting in weak accuracy of voice function evaluation, so that nursing staff cannot identify high-risk groups of voice disorders in the nursing process. At the same time, there is a technical solution in the prior art for voice evaluation that uses thoracic volume as an evaluation parameter for voice evaluation, but there are problems that the accuracy and efficiency are not as expected when obtaining the thoracic volume. Summary of the Invention

[0004] In view of this, the present invention proposes a data processing method and system for voice function evaluation to improve the accuracy and efficiency in the voice evaluation process.

[0005] To achieve the above object, a data processing method for voice function evaluation is provided, and the method includes the following steps:

[0006] S1: Obtain a thoracic CT image of the voice function evaluation of the object to be evaluated;

[0007] S2: Obtain the vital capacity data of the object to be evaluated;

[0008] S3: Perform an image processing operation on the thoracic CT image according to the vital capacity data of the object to be evaluated to obtain the thoracic volume of the object to be evaluated;

[0009] Specifically, S3 is as follows:

[0010] S3.1: Compare the vital capacity data of the object to be evaluated with the first preset value. If it is greater than the first preset value, go to S3.2; otherwise, go to S3.3;

[0011] S3.2: Obtain the thoracic volume of the object to be evaluated by using the first thoracic volume acquisition method;

[0012] S3.3: Obtain the thoracic volume of the object to be evaluated by using the second thoracic volume acquisition method.

[0013] Preferably, the first thoracic volume acquisition method is specifically as follows: Perform three-dimensional reconstruction on the CT image of the object to be evaluated by using the volume rendering function of the GEAW4.6 workstation, and then use the volume measurement function of the workstation to obtain the thoracic volume of the object to be evaluated.

[0014] Preferably, the second thoracic volume acquisition method is specifically as follows:

[0015] S3.3.1: Perform three-dimensional reconstruction on the thoracic CT image of the object to be evaluated;

[0016] S3.3.2: Calculate the thoracic volume of the object to be evaluated according to the three-dimensionally reconstructed thoracic image.

[0017] Preferably, the improved volume rendering algorithm is used to perform three-dimensional reconstruction on the thoracic CT image.

[0018] Preferably, using the improved volume rendering algorithm to perform three-dimensional reconstruction on the thoracic CT image is specifically as follows:

[0019] Sa: Obtain the three-dimensional reconstruction adjustment coefficient of the object to be evaluated;

[0020] Sb: Adjust the sampling interval of the ray projection in the volume rendering algorithm according to the adjustment coefficient;

[0021] Sc: Perform three-dimensional reconstruction of the thoracic CT image according to the adjusted sampling interval.

[0022] Preferably, in S1, a 64-detector row high-speed spiral CT scanner is used to measure the thoracic CT image of the object to be evaluated.

[0023] Preferably, in S1, during sampling, the object to be evaluated takes the supine position. When the object to be evaluated holds its breath at the end of deep inspiration, perform a rapid spiral CT scan from the top of the trachea to the diaphragm. The tube voltage of the tube ball is 120 kV, the tube current is 120 mA, the scanning speed is 0.5 s / rotation, the collimator width is 10 mm, the pitch is 1.375, the image reconstruction slice thickness is 1.25 mm, and the interval is 1.25 mm.

[0024] Preferably, a Kay - Pentax speech aerodynamic system is used to measure the vital capacity of the object to be evaluated.

[0025] Preferably, connect the mask of the Kay - Pentax speech aerodynamic system to the mask connector. Instruct the object to be evaluated to hold their breath after taking a maximum inhalation, then hold the handle, tightly fasten the mask on the face of the object to be evaluated and completely cover the mouth and nose without any gaps for the gas in the mask to escape. After the airflow acquisition device of the Kay - Pentax speech aerodynamic system is started, exhale as much as possible into the mask. An airflow image with flow rate and time as the coordinate axes will be presented on the display of the Kay - Pentax speech aerodynamic system. Repeat this three times and take the average value.

[0026] According to another aspect of the present invention, there is provided a data processing system for voice function evaluation. The system adopts the above - mentioned data processing method for voice function evaluation. The system includes:

[0027] A thoracic cavity image acquisition module for acquiring a thoracic cavity CT image of the object to be evaluated for voice function evaluation;

[0028] A vital capacity data acquisition module for acquiring the vital capacity data of the object to be evaluated;

[0029] A thoracic cavity volume calculation module for performing image processing operations 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.

[0030] The advantages and beneficial effects of the present invention are as follows:

[0031] When processing the thoracic cavity CT image of the object to be evaluated, the present invention first classifies the object to be evaluated according to the vital capacity data of the object to be evaluated. For the object to be evaluated with a larger vital capacity, the instrument's built - in program is used to calculate the thoracic cavity volume of the object to be evaluated's CT image. For the object to be evaluated with a smaller vital capacity, an improved volume rendering algorithm is used to perform three - dimensional reconstruction on the object to be evaluated, and then the thoracic cavity volume calculation is realized. In this way, the accuracy and efficiency of thoracic cavity volume calculation are improved; and it is beneficial for nursing staff to timely identify high - risk groups of voice disorders during the nursing process and formulate targeted rehabilitation intervention strategies.

[0032] Meanwhile, the present invention improves the volume rendering algorithm for thoracic volume calculation by introducing a three-dimensional reconstruction adjustment coefficient, that is, adjusting the reconstruction process of the object to be evaluated according to the vital capacity of the object to be evaluated. Specifically, the sampling interval of light projection is adjusted by the three-dimensional reconstruction adjustment coefficient. For the object to be evaluated with a small vital capacity, a smaller sampling interval is set by the three-dimensional reconstruction adjustment coefficient; for the object to be evaluated with a larger vital capacity, a larger sampling interval is set by the three-dimensional reconstruction adjustment coefficient. In this way, an adaptive three-dimensional reconstruction method is adopted for different types of objects to be evaluated, further improving the efficiency of three-dimensional reconstruction. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for the description of the present invention or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0034] Figure 1 FIG. is a flowchart of a data processing method for voice function evaluation provided by an embodiment of the present invention;

[0035] Figure 2 FIG. is a schematic diagram of vital capacity measurement of an object to be evaluated provided by an embodiment of the present invention;

[0036] Figure 3 FIG. is a schematic diagram of a data processing system for voice function evaluation provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0037] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the scope of protection of the present invention.

[0038] As shown in the Figure 1 accompanying drawings, a data processing method for voice function evaluation includes the following steps:

[0039] S1: Obtain a thoracic CT image of the object to be evaluated for voice function evaluation;

[0040] CT (Computed Tomography), that is, computed tomography. It uses precisely collimated X-ray beams, gamma rays, ultrasonic waves, etc., together with highly sensitive detectors to perform successive cross-sectional scans around a certain part of the human body, featuring fast scanning time and clear images.

[0041] In this embodiment, a 64-detector row high-speed spiral CT scanner of GE Company in the United States is used to measure the chest CT image of the object to be evaluated; the measurement technology of the 64-detector row high-speed spiral CT scanner has very powerful image scanning capabilities, can clearly and accurately image and establish a three-dimensional image of the chest, enabling researchers to observe and measure from various angles and orientations; among them, before the test, the rights, obligations, precautions, and key points of cooperation of the object to be evaluated are informed, and the questions of the object to be evaluated are answered, and an informed consent form is signed on the basis of obtaining the consent of the object to be evaluated;

[0042] Before the CT scan, the object to be evaluated undergoes deep inspiration breath-holding training. Assist the object to be evaluated to take a supine position. When the object to be evaluated holds their breath at the end of deep inspiration, perform a rapid spiral CT scan from the top of the trachea to the diaphragm. The tube voltage is 120 kV, the tube current is 120 mA, the scan speed is 0.5 s / rotation, the collimator width is 10 mm, the pitch is 1.375, the image reconstruction slice thickness is 1.25 mm, and the interval is 1.25 mm.

[0043] S2: Obtain the vital capacity data of the object to be evaluated;

[0044] In this embodiment, a Kayex-Pentax Phonatory Aerodynamic System (PAS) is used to measure the vital capacity of the object to be evaluated. Before the test, the rights, obligations, precautions, and key points of cooperation of the object to be evaluated are informed, and the questions of the subject are answered, and an informed consent form is signed on the basis of obtaining the consent of the object to be evaluated;

[0045] Specifically, connect the mask of the Kayex-Pentax Phonatory Aerodynamic System to the mask connector. Instruct the object to be evaluated to hold their breath after taking a maximum inhalation, then hold the handle and tightly fasten the mask to the face of the object to be evaluated, completely covering the mouth and nose without any gaps for the gas in the mask to escape. After the airflow collection device of the Kayex-Pentax Phonatory Aerodynamic System is started, exhale as much as possible into the mask. An airflow image with flow rate and time as the coordinate axes will be presented on the display of the Kayex-Pentax Phonatory Aerodynamic System. Repeat three times and take the average value; among them, attach Figure 2A schematic diagram of vital capacity measurement of an object to be evaluated is shown, wherein the horizontal axis is time (s), the vertical axis is respiratory airflow velocity (L / s), and the vital capacity data of the object to be evaluated is calculated by the area enclosed by the respiratory airflow velocity curve and the horizontal axis.

[0046] S3: performing image processing operations on the chest CT image according to the vital capacity data of the subject to be evaluated to obtain the chest volume of the subject to be evaluated;

[0047] Through the study of the vital capacity data and chest volume data of a large number of subjects to be evaluated, it is found that, excluding the influence of factors such as the muscle level of the subjects to be evaluated, there is a certain positive correlation between the vital capacity data and the chest volume data; in this embodiment, the chest volume data requires a complex image processing program to obtain a relatively accurate result, and the accuracy of obtaining the chest volume value is different for different subjects to be evaluated and different chest volume acquisition methods. Therefore, in this embodiment, the vital capacity data of the subject to be evaluated is first obtained, and a suitable chest volume acquisition method is selected according to the vital capacity data of the subject to be evaluated, so as to achieve the accuracy of chest volume data acquisition;

[0048] Specifically, the S3 is:

[0049] S3.1: Compare the vital capacity data of the subject to be evaluated with a first preset value. If the vital capacity data is greater than the first preset value, proceed to S3.2; otherwise, proceed to S3.3;

[0050] Wherein, the first preset value is determined according to the age and gender of the subject to be evaluated;

[0051] For example, if the person is a young male, the first preset value is 3500 ml, and if the person is a young female, the first preset value is 3000 ml; for children and the elderly, the vital capacity fluctuates greatly, and therefore is not within the scope of this discussion;

[0052] S3.2: Acquire the chest volume of the subject to be evaluated by using a first chest volume acquisition method;

[0053] The first chest cavity volume acquisition method is specifically: using the volume rendering function of the GEAW4.6 workstation to perform three-dimensional reconstruction on the CT image of the object to be evaluated, and then using the volume measurement function of the workstation to achieve the chest cavity volume acquisition of the object to be evaluated;

[0054] Through the above steps, for the object to be evaluated with a larger chest volume, it is less affected by the image acquisition error, and the chest edge is less affected by the trachea, diaphragm, etc. Therefore, more accurate chest volume data can be obtained using the software that comes with the CT equipment, thereby improving the efficiency of data acquisition.

[0055] S3.3: Acquire the chest volume of the subject to be evaluated by using a second chest volume acquisition method;

[0056] Among them, it is known from the statistical analysis of a large number of people that when the vital capacity of the subject to be evaluated is small, it may indicate that there are certain problems in the chest cavity, such as effusion, etc., which has a certain impact on the accurate acquisition of the chest cavity volume. Using the processing program provided by the instrument to process the chest cavity volume data will produce a large error. Therefore, in this embodiment, the second chest cavity volume acquisition method is used to obtain the chest cavity volume of the subject to be evaluated;

[0057] Among them, the S3.3 is specifically:

[0058] S3.3.1: Performing three-dimensional reconstruction of the chest CT image of the subject to be evaluated;

[0059] In this step, a 64-row high-speed spiral CT machine is used to measure the chest CT image of the object to be evaluated. Therefore, multiple CT images of the chest of the object to be evaluated can be obtained. If the chest volume of the object to be evaluated needs to be accurately obtained, it is necessary to perform a three-dimensional reconstruction operation on the chest image with the help of the CT image to restore the structure and coordinates of the chest, thereby realizing the detection of the chest volume;

[0060] In this embodiment, an improved volume rendering algorithm is used to perform three-dimensional reconstruction on the chest CT image;

[0061] Volume rendering can not only reconstruct the three-dimensional surface of the chest cavity, but also display its internal structure. Therefore, its application in medical images is considerable. This method is mainly based on the imaging principle of human vision. First, an idealized model is constructed, that is, each voxel in the three-dimensional data field is regarded as a particle that can receive or emit light, and then the light intensity and opacity percentage are appropriately allocated according to the attributes of the model and the voxel, and then integrated along the line of sight, and then a corresponding projection image is formed on the image plane; wherein, the algorithm needs to project all voxels using a ray projection algorithm, which is essentially to construct the two-dimensional CT image into three-dimensional space data, and then perform a gray value traversal operation on all values in the three-dimensional space data, and then set a scattered light source, and traverse the entire three-dimensional space data through ray projection. In this process, an equidistant sampling method is used to record voxel points with the same gray value, and then a color value is assigned to each sampling point, and then each sampling point with the same gray value is synthesized into visual information to achieve three-dimensional reconstruction;

[0062] When the above algorithm is used for projection processing, there are problems such as low rendering efficiency and long reconstruction time. In this embodiment, when applying the volume rendering algorithm to the three-dimensional reconstruction of chest images, the volume rendering algorithm is improved to improve the efficiency of image reconstruction of the volume rendering algorithm. Among them, the specific steps of using the improved volume rendering algorithm to perform three-dimensional reconstruction on the chest CT images are as follows:

[0063] Sa: Obtain the three-dimensional reconstruction adjustment coefficient of the object to be evaluated;

[0064] Among them, the adjustment coefficient is the ratio of the vital capacity value of the object to be evaluated to the standard vital capacity value;

[0065] Among them, the standard vital capacity value is determined according to the age of the object to be evaluated;

[0066] Sb: Adjust the sampling interval of the ray projection in the volume rendering algorithm according to the adjustment coefficient;

[0067] In the prior art, there is a technical solution for adjusting the sampling interval of ray projection, that is, changing the sampling interval according to the distance between the voxel data and the light source point. This algorithm improves the efficiency of three-dimensional reconstruction to a certain extent. However, it does not consider the influence in the three-dimensional reconstruction process of different types of CT images, which will also affect the efficiency of three-dimensional reconstruction;

[0068] Therefore, in this embodiment, by introducing a three-dimensional reconstruction adjustment coefficient, that is, adjusting the reconstruction process of the object to be evaluated according to the vital capacity of the object to be evaluated, that is, adjusting the sampling interval of ray projection through the three-dimensional reconstruction adjustment coefficient. That is, for the object to be evaluated with a small vital capacity, a smaller sampling interval is set through the three-dimensional reconstruction adjustment coefficient, and for the object to be evaluated with a larger vital capacity, a larger sampling interval is set through the three-dimensional reconstruction adjustment coefficient. In this way, an adaptive three-dimensional reconstruction method is adopted for different types of objects to be evaluated, further improving the efficiency of three-dimensional reconstruction;

[0069] Sc: Implement three-dimensional reconstruction of the chest CT image according to the adjusted sampling interval;

[0070] S3.3.2: Calculate the chest volume of the object to be evaluated according to the three-dimensionally reconstructed chest image;

[0071] Among them, through three-dimensional reconstruction, a three-dimensional image of the chest volume of the object to be evaluated can be obtained, and the calculation of the chest volume of the object to be evaluated can be realized.

[0072] Among them, in step S3, the obtained chest volume is used to evaluate the voice function of the object to be evaluated, that is, the voice function of the object to be evaluated is reflected by the chest resonance energy, and then the fitting relationship between the chest volume and the chest resonance energy is used to realize the evaluation of the voice function; through the technical solution of this embodiment, it enables nursing staff to identify high-risk groups of voice disorders in a timely manner during the nursing process and formulate targeted rehabilitation intervention strategies; at the same time, the solution of this embodiment can also be used in emergency treatment and ICU treatment. For example, during endotracheal intubation, it may damage the vocal cords and cause voice disorders in patients; some sequelae of cerebral infarction and cerebral hemorrhage also require voice assessment, and the technical solution of this embodiment can also be used in the above fields, that is, through the technical solution of this embodiment, patients in the emergency department and ICU can also achieve highly accurate voice function assessment.

[0073] Embodiment 2, as shown in the appendix Figure 3 shows, this embodiment includes a data processing system for voice function evaluation. The system adopts a data processing method for voice function evaluation in Embodiment 1. The system includes:

[0074] A chest image acquisition module, configured to acquire a chest CT image for evaluating the voice function of the object to be evaluated;

[0075] A vital capacity data acquisition module, configured to acquire the vital capacity data of the object to be evaluated;

[0076] A chest volume calculation module, configured to perform image processing operations 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.

[0077] Embodiment 3, this embodiment includes a computer-readable storage medium, on which a data processing program is stored, and the data processing program is executed by a processor to perform a data processing method for voice function evaluation in Embodiment 1.

[0078] Those skilled in the art should understand that the embodiments herein can be provided as methods, devices (equipment), or computer program products. Therefore, the present disclosure can 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 technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cassette, tape, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer. In addition, as is well known to those of ordinary skill in the art, a communication medium typically includes computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transmission mechanism, and may include any information delivery medium.

[0079] This text is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (devices), and computer program products according to embodiments of the present text. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 or multiple blocks.

[0080] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing devices to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device, and the instruction device implements the steps of the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 or multiple blocks.

[0081] The above-described embodiments and / or implementation manners are only used to illustrate the preferred embodiments and / or implementation manners for implementing the technology of the present invention, and do not impose any formal restrictions on the implementation manners of the technology of the present invention. Any person skilled in the art, without departing from the scope of the technical means disclosed in the content of the present invention, can make some changes or modifications to other equivalent embodiments, but should still be regarded as the same technology or embodiment as the essence of the present invention. Note that the above is only the preferred embodiment of the present invention and the technical principles applied. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described here, and various obvious changes, re-adjustments, and substitutions can be made by those skilled in the art without departing from the protection scope of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments. Without departing from the concept of the present invention, more other equivalent embodiments can be included, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A data processing method for voice function evaluation, characterized in that, The method includes the following steps: S1: Obtain a chest CT image for evaluating the voice function of the object to be evaluated; S2: Obtain the vital capacity data of the object to be evaluated; S3: Perform an 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; Specifically, S3 is as follows: S3.1: Compare the vital capacity data of the object to be evaluated with a first preset value. If it is greater than the first preset value, go to S3.2; otherwise, go to S3.3; S3.2: Obtain the chest volume of the object to be evaluated by using a first chest volume acquisition method; Specifically, the first chest volume acquisition method is as follows: Perform three-dimensional reconstruction on the CT image of the object to be evaluated by using the volume rendering function of the GE AW4.6 workstation, and then use the volume measurement function of the workstation to obtain the chest volume of the object to be evaluated; S3.3: Obtain the chest volume of the object to be evaluated by using a second chest volume acquisition method; Specifically, the second chest volume acquisition method is as follows: S3.3.1: Perform three-dimensional reconstruction on the chest CT image of the object to be evaluated; Among them, perform three-dimensional reconstruction on the chest CT image by using an improved volume rendering algorithm; specifically: Sa: Obtain the three-dimensional reconstruction adjustment coefficient of the object to be evaluated; Sb: Adjust the sampling interval of the ray projection in the volume rendering algorithm according to the adjustment coefficient; Sc: Realize the three-dimensional reconstruction of the chest CT image according to the adjusted sampling interval; S3.3.2: Calculate the chest volume of the object to be evaluated according to the three-dimensionally reconstructed chest image.

2. The data processing method for voice function evaluation according to claim 1, wherein In S1, a 64-detector row high-speed spiral CT scanner is used to measure the chest CT image of the object to be evaluated.

3. The data processing method for voice function evaluation according to claim 2, wherein In S1, during sampling, the object to be evaluated takes a supine position. When the object to be evaluated holds his breath at the end of a deep inhalation, perform a rapid spiral CT scan from the top of the trachea to the diaphragm. The tube voltage is 120 kV, the tube current is 120 mA, the scanning speed is 0.5 s / rotation, the collimator width is 10 mm, the pitch is 1.375, the image reconstruction slice thickness is 1.25 mm, and the interval is 1.25 mm.

4. The data processing method for voice function evaluation according to claim 3, wherein, Use the Kay - Pentax speech aerodynamics system to measure the vital capacity of the object to be evaluated.

5. A data processing method for voice function evaluation according to claim 4, characterized in that, Connect the mask of the Kay - Pentax speech aerodynamics system to the mask connector. Instruct the object to be evaluated to hold his breath after a maximum inhalation, then hold the handle and tightly fasten the mask to the face of the object to be evaluated, completely covering the mouth and nose without any gaps for the gas in the mask to escape. After the air flow acquisition device of the Kay - Pentax speech aerodynamics system is started, exhale as much as possible into the mask. An air flow image with flow rate and time as the coordinate axes is presented on the display of the Kay - Pentax speech aerodynamics system, and repeat three times and take the average value.

6. A data processing system for voice function evaluation, characterized in that, The system adopts a data processing method for voice function evaluation described in any one of claims 1 - 5. The system includes: A chest image acquisition module for obtaining a chest CT image for evaluating the voice function of the object to be evaluated; A vital capacity data acquisition module for obtaining the vital capacity data of the object to be evaluated; A thoracic volume calculation module, which is used to perform image processing operations on the thoracic CT image according to the vital capacity data of the object to be evaluated, so as to obtain the thoracic volume of the object to be evaluated.

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