Smooth muscle stem cell treatment optimization method and system for female pelvic floor dysfunction

Abstract

The invention discloses a smooth muscle stem cell treatment optimization method and system for female pelvic floor dysfunction. First pelvic floor image data collected from pelvic floor muscle parts, first pelvic floor function parameters for evaluating pelvic floor functions and first tissue state parameters of smooth muscle cells for stem cell culture are processed to obtain first culture factor characteristics; constructing a pelvic floor dysfunction assessment optimization model by utilizing the first culture factor characteristics and a first smooth muscle stem cell culture method, inputting the second culture factor characteristics of an optimization target to be assessed into the model to obtain a second culture method, and helping to perform specific culture of smooth muscle stem cells. Therefore, doctors are assisted in personalized pelvic floor dysfunction repair for different patients, the treatment effect is improved, and damage to surrounding tissues of the patients is reduced. By building the improved deep learning model, the culture time of the smooth muscle stem cells is shortened, accurate and low-damage pelvic floor treatment is promoted, and the pertinence of culture of the smooth muscle stem cells is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of stem cell culture, and particularly relates to an optimized method and system for the treatment of smooth muscle stem cells for female pelvic floor dysfunction. Background Art

[0002] The pelvic floor refers to the bottom of the pelvis, which bears many key pelvic organs and structures, including organs such as the urethra, bladder, uterus, and rectum. The pelvic floor is composed of multiple layers of muscles and connective tissues to maintain the normal position and function of the organs. Female pelvic floor dysfunction refers to a group of diseases caused by damage or abnormal function of the supporting structures of the pelvic floor, and is a general term for a series of diseases such as pelvic organ prolapse, stress urinary incontinence, urge urinary incontinence, fecal incontinence, sexual dysfunction, and chronic pelvic pain. Among them, the highest incidence rates are stress urinary incontinence and vaginal wall prolapse with or without uterine prolapse. Stress urinary incontinence is mainly manifested as involuntary urine leakage when the abdominal pressure increases, such as coughing, sneezing, laughing, or even walking. Vaginal wall prolapse often accompanies uterine prolapse. Patients often have a mass protruding from the vaginal orifice (the prolapsed vaginal wall or uterus), which affects walking, accompanied by difficulties in urination and defecation and a feeling of abdominal distension, seriously affecting the quality of life of women.

[0003] The pathogenesis of pelvic floor dysfunction is closely related to pregnancy and childbirth. Aging of organs and ovarian function failure caused by increasing age, as well as decreased estrogen levels and weakened pelvic floor muscle support function, are also important causes of uterine prolapse. In addition, genetics, obesity, endocrine disorders, and lifestyle habits will also increase the probability of suffering from pelvic floor dysfunction. After the age of 50, the incidence rate of female pelvic floor dysfunction diseases is relatively high. According to international epidemiological surveys, the prevalence rate of only stress urinary incontinence in middle-aged women is estimated to be 28 - 35%. It affects more than one-third of perimenopausal women. The prevalence rate of adult pelvic floor dysfunction is above 40%, and it can be as high as 70% in the elderly over 65 years old. Female pelvic floor dysfunction diseases are important diseases that affect the quality of life of women. Facing such a large and high-prevalence group, patients' understanding of their own diseases and treatment effects are not satisfactory.

[0004] In recent years, stem cell therapy has become a revolutionary and effective latest tool for the treatment of pelvic floor dysfunction diseases. Stem cell technology contains great potential and brings unprecedented possibilities for the treatment of female pelvic floor dysfunction. Stem cells have the ability to differentiate into multiple cell lines, and the application of stem cells is mainly reflected in promoting the repair, reconstruction, and regeneration of damaged tissues.

[0005] However, the technical requirements for stem cell extraction, culture, differentiation, etc. are relatively high, and professional laboratory equipment and personnel operation are required. This increases the cost and difficulty of treatment and limits its wide application in clinical practice.

[0006] Through the above analysis, the problems and defects of the prior art are as follows: How to obtain smooth muscle stem cells cultivated for different patients more efficiently, and repair damaged pelvic floor tissues such as the urethra, vaginal pelvic floor muscles and ligaments through a sufficient amount of stem cells most suitable for the corresponding patients, enhance the contraction function of the pelvic floor muscles, and achieve the purpose of treating female pelvic floor dysfunction.

[0007] How to adaptively adjust the cultivation method by using machine learning methods, and how to handle the different pathological and state conditions of different patients, set unified standards to reduce the operation and judgment energy of laboratory personnel to generate the best smooth muscle stem cells, so as to accurately treat different patients with pelvic floor dysfunction. Summary of the Invention

[0008] To solve the above technical problems, the present invention proposes an optimized method and system for treating female pelvic floor dysfunction with smooth muscle stem cells.

[0009] In the first aspect of the present invention, there is provided an optimized method for treating female pelvic floor dysfunction with smooth muscle stem cells, the method comprising: Collect the first pelvic floor image data of a patient's pelvic floor muscle part, and collect the first pelvic floor function parameter for evaluating pelvic floor function and the first tissue state parameter of autologous smooth muscle tissue, and then process the first pelvic floor image data, the first pelvic floor function parameter and the first tissue state parameter to obtain the first culture factor feature; Obtain the first culture method of smooth muscle stem cells set by researchers, and construct an optimized model for evaluating pelvic floor dysfunction according to the first culture factor feature and the set first culture method; Collect the second pelvic floor image data of another patient's pelvic floor muscle part, and collect the second pelvic floor function parameter for evaluating pelvic floor function and the second tissue state parameter of autologous smooth muscle tissue, and then process the second pelvic floor image data, the second pelvic floor function parameter and the second tissue state parameter to obtain the second culture factor feature, and input the second culture factor feature into the optimized model for evaluating pelvic floor dysfunction to obtain the second culture method; According to the second culture method, assist in the specific culture of smooth muscle stem cells, and the cultivated smooth muscle stem cells are used to assist doctors in repairing individual pelvic floor dysfunction for the patient, improve the treatment effect and reduce the damage to the surrounding tissues of the patient.

[0010] Further, the pelvic floor image data is obtained by performing three-channel image acquisition using a color ultrasound device and performing feature processing on the average gray value of the RGB channels.

[0011] Further, the pelvic floor function parameters are used to evaluate the pelvic floor function, and the pelvic floor function parameters are calculated from the area of the pelvic diaphragm hiatus, the muscle fiber strength of the pelvic floor muscles, and the vaginal systolic pressure.

[0012] Further, the tissue state parameters are used to evaluate the activity of the smooth muscle tissue that generates smooth muscle stem cells, and the tissue state parameters are calculated from the area size, ex vivo time, and ex vivo storage temperature of the obtained smooth muscle tissue.

[0013] Further, obtaining the culture factor characteristics from the pelvic floor image data, pelvic floor function parameters, and tissue state parameters is achieved through the method of vector splicing. The characteristic vector of the culture factor characteristics is represented as ( , , ), where is the pelvic floor image data, is the pelvic floor function parameter, is the tissue state parameter.

[0014] Further, the pelvic floor dysfunction evaluation and optimization model adopts an SVM model improved based on the tissue state parameters.

[0015] Further, the calculation method of the SVM model improved based on the tissue state parameters is as follows: where , are the normal vector and intercept of the hyperplane respectively, which are obtained by training using the first culture factor characteristics and the first culture method. is the output first culture method or second culture method, is the first tissue state parameter, is the second tissue state parameter, is the temperature during the culture of smooth muscle stem cells, is the theoretically optimal temperature during the culture of smooth muscle stem cells.

[0016] There is also provided a smooth muscle stem cell treatment optimization system for female pelvic floor dysfunction, including a pelvic floor image data collection module, a pelvic floor function evaluation module, a smooth muscle tissue state evaluation module, a culture factor characteristic processing module, a pelvic floor dysfunction evaluation and optimization model construction module, and a culture method evaluation and optimization module. The pelvic floor image data collection module: is used to collect and process to obtain the first pelvic floor image data of a patient's pelvic floor muscle part or the second pelvic floor image data of another patient's pelvic floor muscle part; The pelvic floor function evaluation module: is used to collect and process to obtain the first pelvic floor function parameters for evaluating the pelvic floor function, and is also used to collect and process to obtain the second pelvic floor function parameters for evaluating the pelvic floor function; The smooth muscle tissue state evaluation module: used to collect and process to obtain the first tissue state parameter of the smooth muscle tissue, and also used to collect and process to obtain the second tissue state parameter of the smooth muscle tissue; The culture factor feature processing module: used to receive the first pelvic floor image data, the first pelvic floor function parameter, and the first tissue state parameter, and process to obtain the first culture factor feature; also used to receive the second pelvic floor image data, the second pelvic floor function parameter, and the second tissue state parameter, and process to obtain the second culture factor feature; The pelvic floor dysfunction evaluation and optimization model construction module: used to receive the first culture factor feature, and input a set first culture method, and construct a pelvic floor dysfunction evaluation and optimization model according to the first culture factor feature and the first culture method; The culture method evaluation and optimization module: used to process the second culture factor feature according to the pelvic floor dysfunction evaluation and optimization model to obtain the second culture method, and perform corresponding culture on the smooth muscle tissue according to the second culture method.

[0017] Further, the pelvic floor dysfunction evaluation and optimization model adopts an SVM model improved based on tissue state parameters.

[0018] Further, the calculation method of the SVM model improved based on tissue state parameters is as follows: where , are the normal vector and intercept of the hyperplane, respectively, obtained by training using the first culture factor feature and the first culture method, is the output first culture method or second culture method, is the first tissue state parameter, is the second tissue state parameter, is the temperature during the culture of smooth muscle stem cells, is the theoretical optimal temperature during the culture of smooth muscle stem cells.

[0019] When culturing smooth muscle stem cells, temperature and the state of the cultured tissue have the greatest impact on the adoption of the culture method. Therefore, in the present invention, the generation of the culture method is corrected according to the proportional changes in temperature and the proportional changes in tissue state parameters during culture to obtain a more accurate culture method, helping different patients obtain more suitable smooth muscle stem cells for repairing pelvic floor function, improving the precision of the production of specific culture methods for smooth muscle stem cells by the model, using a relatively small amount of data that is easy to collect, and the improved model has strong scene specificity, can well promote the treatment method of cross-individual pelvic floor function repair, help improve the medical level of pelvic floor function repair, and reduce the rate of incorrect culture operations to a certain extent.

[0020] In order to obtain smooth muscle stem cells that can be cultured for different patients more efficiently, the present invention uses smooth muscle tissue for in vitro culture and amplification by repairing damaged pelvic floor tissues such as the urethra, vaginal pelvic floor muscles, and ligaments with a sufficient amount of stem cells that are most suitable for the corresponding patients, enhancing the contraction function of the pelvic floor muscles, and achieving the purpose of treating female pelvic floor dysfunction. Through a specific cell culture technology generated based on machine learning, after the smooth muscle stem cells reach a certain quantity and activity, they are injected into the damaged parts of the pelvic floor muscles of the patients. Utilizing the self-renewal and differentiation abilities of muscle stem cells, they are differentiated into mature smooth muscle cells, thereby repairing damaged pelvic floor tissues such as the urethra, vaginal pelvic floor muscles, and ligaments, enhancing the contraction function of the pelvic floor muscles, and achieving the purpose of treating female pelvic floor dysfunction. An adaptive generation of the culture method is carried out using a support vector machine model based on appropriate smooth muscle tissue state parameters, and by setting a unified standard parameter calculation method to process the different pathological and state conditions of different patients, a unified standard is set to reduce the operation and judgment energy of laboratory personnel to generate the best smooth muscle stem cells, thereby precisely treating different patients with pelvic floor dysfunction.

[0021] More embodiments and improvement effects of the present invention will be further introduced in combination with the drawings and specific embodiments. Brief Description of the Drawings

[0022] Figure 1 is the flowchart of the optimized method for treating female pelvic floor dysfunction with smooth muscle stem cells of the present invention; Figure 2 is the schematic diagram of the optimized system for treating female pelvic floor dysfunction with smooth muscle stem cells of the present invention; The system includes a pelvic floor image data collection module, a pelvic floor function evaluation module, a smooth muscle tissue state evaluation module, etc.; Figure 3 is the image of the smooth muscle tissue collection site in the embodiment of the present invention; Figure 4 is the schematic diagram of the SVM model improved based on tissue state parameters in the embodiment of the present invention; Figure 5 It is a schematic structural diagram of an electronic device for implementing the method of the present invention in an embodiment of the present invention. Specific embodiments

[0023] Next, in combination with the accompanying drawings and specific embodiments, the invention will be further described. The image acquisition in the present invention is all color images, which can be acquired by a color ultrasound device, but is not limited to a color ultrasound device.

[0024] In a first aspect of the present invention, an optimized method for treating female pelvic floor dysfunction with smooth muscle stem cells is provided. The method includes: Collect first pelvic floor image data of a patient's pelvic floor muscle area, and collect first pelvic floor function parameters for evaluating pelvic floor function and first tissue state parameters of autologous smooth muscle tissue. Then process the first pelvic floor image data, the first pelvic floor function parameters, and the first tissue state parameters to obtain a first culture factor feature; Obtain the first culture method of smooth muscle stem cells set by a researcher, and construct an optimized model for evaluating pelvic floor dysfunction according to the first culture factor feature and the set first culture method; Collect second pelvic floor image data of the pelvic floor muscle area of another patient, and collect second pelvic floor function parameters for evaluating pelvic floor function and second tissue state parameters of autologous smooth muscle tissue. Then process the second pelvic floor image data, the second pelvic floor function parameters, and the second tissue state parameters to obtain a second culture factor feature, and input the second culture factor feature into the optimized model for evaluating pelvic floor dysfunction to obtain a second culture method; Help perform specific culture of smooth muscle stem cells according to the second culture method. The cultured smooth muscle stem cells are used to assist doctors in performing personalized pelvic floor dysfunction repair for the patient, improving the treatment effect and reducing damage to the patient's surrounding tissues.

[0025] Furthermore, the pelvic floor image data is obtained by performing three-channel image acquisition using a color ultrasound device and performing feature processing on the average gray value of the RGB channels. The processing formula is: In the formula, is the pelvic floor image data, is the average gray value of the R channel of the three-channel image represented in the RGB color space collected, is the average gray value of the G channel of the three-channel image represented in the RGB color space collected, is the average gray value of the B channel of the three-channel image represented in the RGB color space collected, is the reference value of the red channel of the three-channel image.

[0026] Furthermore, pelvic floor function parameters are used to evaluate the pelvic floor function. The pelvic floor function parameters are calculated from the area of the pelvic hiatus, the muscle fiber strength of the pelvic floor muscles, and the vaginal systolic pressure: In the formula, is the pelvic floor function parameter, is the area of the pelvic hiatus, is the grade of the muscle fiber strength of the pelvic floor muscles, is the vaginal systolic pressure, is the vaginal resting pressure.

[0027] Specifically, in this embodiment, the first pelvic floor function parameter is calculated from the first area of the pelvic hiatus, the first muscle fiber strength of the pelvic floor muscles, the first vaginal systolic pressure, and the first vaginal resting pressure. The second pelvic floor function parameter is calculated from the second area of the pelvic hiatus, the second muscle fiber strength of the pelvic floor muscles, the second vaginal systolic pressure, and the second vaginal resting pressure.

[0028] Furthermore, tissue state parameters are used to evaluate the activity of the smooth muscle tissue that generates smooth muscle stem cells. The tissue state parameters are calculated from the area size, the ex vivo time, and the ex vivo storage temperature of the obtained smooth muscle tissue: In the formula, is the tissue state parameter, S is the area size of the obtained smooth muscle tissue, t is the ex vivo time of the obtained smooth muscle tissue, is the actually adopted ex vivo storage temperature, is the optimal ex vivo storage temperature.

[0029] Specifically, in this embodiment, the first tissue state parameter is calculated from the first area size, the first ex vivo time, the first ex vivo storage temperature, and the first optimal ex vivo storage temperature of the smooth muscle tissue. The second tissue state parameter is calculated from the second area size, the second ex vivo time, the second ex vivo storage temperature, and the second optimal ex vivo storage temperature of the smooth muscle tissue.

[0030] As shown in the attached Figure 3 figure, it is a schematic diagram of the smooth muscle tissue situation, from which the area size of the smooth muscle tissue can be further obtained, and the tissue state parameters are calculated based on this.

[0031] Furthermore, the culture factor features are obtained by vector splicing from the processed pelvic floor image data, pelvic floor function parameters, and tissue state parameters. The feature vector of the culture factor feature is expressed as ( , , ), where is the pelvic floor image data, is the pelvic floor function parameter, is the tissue state parameter.

[0032] Specifically, in this embodiment, the first culture factor feature is obtained by splicing the first pelvic floor image data, the first pelvic floor function parameter, and the first tissue state parameter to obtain a corresponding feature vector.

[0033] Furthermore, the pelvic floor dysfunction assessment and optimization model adopts an SVM model improved based on the tissue state parameter.

[0034] Furthermore, the calculation method of the SVM model improved based on the tissue state parameter is as follows: where , are the normal vector and intercept of the hyperplane, respectively, obtained by training using the first culture factor feature and the first culture method, is the output first culture method or second culture method, is the first tissue state parameter, is the second tissue state parameter, is the temperature during smooth muscle stem cell culture, is the theoretically optimal temperature during smooth muscle stem cell culture.

[0035] There is also provided a smooth muscle stem cell treatment optimization system for female pelvic floor dysfunction, including a pelvic floor image data collection module, a pelvic floor function assessment module, a smooth muscle tissue state assessment module, a culture factor feature processing module, a pelvic floor dysfunction assessment and optimization model construction module, and a culture method assessment and optimization module. The pelvic floor image data collection module: is used to collect and process to obtain the first pelvic floor image data of a patient's pelvic floor muscle part or the second pelvic floor image data of another patient's pelvic floor muscle part; The pelvic floor function assessment module: is used to collect and process to obtain the first pelvic floor function parameter for assessing the pelvic floor function, and is also used to collect and process to obtain the second pelvic floor function parameter for assessing the pelvic floor function; The smooth muscle tissue state assessment module: is used to collect and process to obtain the first tissue state parameter of the smooth muscle tissue, and is also used to collect and process to obtain the second tissue state parameter of the smooth muscle tissue; The culture factor feature processing module: is used to receive the first pelvic floor image data, the first pelvic floor function parameter, and the first tissue state parameter, and process them to obtain the first culture factor feature; it is also used to receive the second pelvic floor image data, the second pelvic floor function parameter, and the second tissue state parameter, and process them to obtain the second culture factor feature; The pelvic floor dysfunction assessment optimization model construction module: It is used to receive the first culture factor feature, input a set first culture method, and construct a pelvic floor dysfunction assessment optimization model according to the first culture factor feature and the first culture method; The culture method evaluation optimization module: It is used to obtain a second culture method by processing the second culture factor feature according to the pelvic floor dysfunction assessment optimization model, and perform corresponding culture on the smooth muscle tissue according to the second culture method.

[0036] Further, the pelvic floor dysfunction assessment optimization model adopts an SVM model improved based on tissue state parameters.

[0037] Further, the calculation method of the SVM model improved based on tissue state parameters is as follows: Where , are the normal vector and intercept of the hyperplane respectively, obtained by training using the first culture factor feature and the first culture method, is the output first culture method or second culture method, is the first tissue state parameter, is the second tissue state parameter, is the temperature during smooth muscle stem cell culture, is the theoretically optimal temperature during smooth muscle stem cell culture.

[0038] In this actual example, during the cell culture process, according to value to obtain the corresponding culture method. If value is greater than 0, it is set to use a culture medium containing a corresponding specific growth factor combination, such as epidermal growth factor (EGF), fibroblast growth factor (FGF), and insulin-like growth factor (IGF), and their ratio is EGF 10 - 12.5 ng / mL, FGF 5 - 7.5 ng / mL, IGF 8 - 9 ng / mL, which can significantly improve the proliferation rate and activity of smooth muscle stem cells of corresponding patients. If value is equal to 0, then epidermal growth factor (EGF), fibroblast growth factor (FGF), and insulin-like growth factor (IGF), and their ratio is EGF 12.5 - 15 ng / mL, FGF 7.5 - 10 ng / mL, IGF 9 - 10 ng / mL. If is greater than -1 and less than 0, and is less than or equal to -1, then there are corresponding set ratio values, which are set as the optimal ratio range according to the actual situation by laboratory researchers here.

[0039] When culturing smooth muscle stem cells, temperature and the state of the cultured tissue have the greatest impact on the adoption of the culture method. Therefore, in the present invention, the generation of the culture method is corrected according to the proportional changes in temperature and tissue state parameters during culture to obtain a more accurate culture method, helping different patients obtain more suitable smooth muscle stem cells for repairing pelvic floor function, improving the precision of the specific culture method for smooth muscle stem cells produced by the model, using a relatively small amount of data that is easy to collect, and the improved model having strong scene specificity, being able to well promote the treatment method of cross-individual pelvic floor function repair, helping to improve the medical level of pelvic floor function repair, and reducing the rate of incorrect culture operations to a certain extent.

[0040] In order to more efficiently obtain smooth muscle stem cells that can be cultured for different patients, the present invention uses smooth muscle tissue for in vitro culture and amplification by repairing damaged pelvic floor tissues such as the urethra, vaginal pelvic floor muscles, and ligaments with a sufficient amount of stem cells that are most suitable for the corresponding patients, enhancing the contraction function of the pelvic floor muscles, and achieving the purpose of treating female pelvic floor dysfunction. Through a specific cell culture technique generated based on machine learning, after the smooth muscle stem cells reach a certain quantity and activity, they are injected into the damaged part of the pelvic floor muscles of the patient. Utilizing the self-renewal and differentiation ability of muscle stem cells, they are differentiated into mature smooth muscle cells, thereby repairing damaged pelvic floor tissues such as the urethra, vaginal pelvic floor muscles, and ligaments, enhancing the contraction function of the pelvic floor muscles, and achieving the purpose of treating female pelvic floor dysfunction. An adaptive generation of the culture method is carried out using a support vector machine model based on suitable smooth muscle tissue state parameters, and by setting a unified standard parameter calculation method to handle the different pathological and state conditions of different patients, a unified standard is set to reduce the operation and judgment effort of laboratory personnel to generate the best smooth muscle stem cells, thereby precisely treating different patients with pelvic floor dysfunction.

[0041] Clinical studies have shown that within 6 months after injection treatment with the smooth muscle stem cells cultured by the present invention, the cure rate for mild to moderate female urinary incontinence patients reaches over 70%, and the effective improvement rate reaches over 90%, which is significantly higher than the effective rate of about 30% of conservative treatment methods. Moreover, the pelvic floor muscle function of the patients is significantly enhanced after treatment. Through urodynamic testing, the maximum urethral closure pressure increases by 30% - 50% compared with that before treatment, and the complications that may occur after surgical treatment do not appear in the present invention, greatly improving the quality of life of the patients.

[0042] Of course, it can be understood that each embodiment of the present invention can achieve one of the effects alone, and a combination of multiple embodiments of the present invention can achieve all of the above effects. However, it is not required that each embodiment of the present invention achieve all of the above advantages and effects, because each embodiment of the present invention can constitute an independent technical solution and make one or more contributions to the prior art.

[0043] For the partial module structures not specifically defined in the present invention, the content recorded in the prior art shall prevail. The prior art mentioned in the foregoing background art section and specific embodiment section of the present invention can be regarded as a part of the present invention for understanding the meaning of some technical features or parameters. The protection scope of the present invention shall be subject to the content actually recorded in the claims.

Claims

1. An optimized method for the treatment of female pelvic floor dysfunction with smooth muscle stem cells, characterized in that, The method includes: Collecting first pelvic floor image data of a patient's pelvic floor muscle area, collecting first pelvic floor function parameters for evaluating pelvic floor function and first tissue state parameters of autologous smooth muscle tissue, and then processing the first pelvic floor image data, the first pelvic floor function parameters, and the first tissue state parameters to obtain a first culture factor feature; Obtaining a first culture method for smooth muscle stem cells set by a researcher, and constructing an optimized pelvic floor dysfunction assessment model according to the first culture factor feature and the set first culture method; Collecting second pelvic floor image data of another patient's pelvic floor muscle area, collecting second pelvic floor function parameters for evaluating pelvic floor function and second tissue state parameters of autologous smooth muscle tissue, and then processing the second pelvic floor image data, the second pelvic floor function parameters, and the second tissue state parameters to obtain a second culture factor feature, and inputting the second culture factor feature into the optimized pelvic floor dysfunction assessment model to obtain a second culture method; Helping to perform specific culture of smooth muscle stem cells according to the second culture method, and the cultured smooth muscle stem cells are used to assist doctors in performing personalized pelvic floor dysfunction repair for the patient.

2. The optimized method for treating pelvic floor dysfunction with smooth muscle stem cells according to claim 1, characterized in that: The pelvic floor image data is obtained by performing three-channel image acquisition using a color ultrasound device and performing feature processing on the average gray value of the RGB channels.

3. The optimized method for treating pelvic floor dysfunction with smooth muscle stem cells according to claim 1, characterized in that: The pelvic floor function parameters are used to evaluate the pelvic floor function condition, and the pelvic floor function parameters are calculated from the pelvic diaphragm hiatus area, pelvic floor muscle fiber muscle strength, and vaginal systolic pressure.

4. The optimized method for treating pelvic floor dysfunction with smooth muscle stem cells according to claim 3, characterized in that: The tissue state parameters are used to evaluate the activity of the smooth muscle tissue that generates smooth muscle stem cells, and the tissue state parameters are calculated from the area size, ex vivo time, and ex vivo storage temperature of the obtained smooth muscle tissue.

5. The optimized method for treating pelvic floor dysfunction with smooth muscle stem cells according to claim 4, characterized in that: Processing pelvic floor image data, pelvic floor function parameters, and tissue state parameters to obtain culture factor features is achieved through vector splicing. The culture factor features are represented by the feature vector as ( , , ), where is the pelvic floor image data, is the pelvic floor function parameter, and is the tissue state parameter.

6. The optimized method for treating pelvic floor dysfunction with smooth muscle stem cells according to claim 5, characterized in that: The optimized pelvic floor dysfunction assessment model adopts an SVM model improved based on tissue state parameters.

7. The optimized method for treating pelvic floor dysfunction with smooth muscle stem cells according to claim 6, characterized in that: The calculation method of the SVM model improved based on tissue state parameters is as follows: wherein , are the normal vector and intercept of the hyperplane respectively, obtained by training using the first culture factor feature and the first culture method, is the output first culture method or second culture method, is the first tissue state parameter, is the second tissue state parameter, is the temperature during smooth muscle stem cell culture, is the theoretically optimal temperature during smooth muscle stem cell culture.

8. An optimized system for treating pelvic floor dysfunction with smooth muscle stem cells in women, including a pelvic floor image data collection module, a pelvic floor function assessment module, a smooth muscle tissue state assessment module, a culture factor feature processing module, an optimized pelvic floor dysfunction assessment model construction module, and a culture method assessment optimization module, characterized in that: The pelvic floor image data collection module: is used to collect and process first pelvic floor image data of a patient's pelvic floor muscle area or second pelvic floor image data of another patient's pelvic floor muscle area; The pelvic floor function evaluation module: It is used to collect and process to obtain the first pelvic floor function parameter for evaluating the pelvic floor function, and is also used to collect and process to obtain the second pelvic floor function parameter for evaluating the pelvic floor function; The smooth muscle tissue state evaluation module: It is used to collect and process to obtain the first tissue state parameter of the smooth muscle tissue, and is also used to collect and process to obtain the second tissue state parameter of the smooth muscle tissue; The culture factor feature processing module: It is used to receive the first pelvic floor image data, the first pelvic floor function parameter, and the first tissue state parameter, and process them to obtain the first culture factor feature; It is also used to receive the second pelvic floor image data, the second pelvic floor function parameter, and the second tissue state parameter, and process them to obtain the second culture factor feature; The pelvic floor dysfunction evaluation and optimization model construction module: It is used to receive the first culture factor feature, and input the set first culture method, and construct a pelvic floor dysfunction evaluation and optimization model according to the first culture factor feature and the first culture method; The culture method evaluation and optimization module: It is used to process the second culture factor feature according to the pelvic floor dysfunction evaluation and optimization model to obtain the second culture method, and perform corresponding culture on the smooth muscle tissue according to the second culture method.

9. The smooth muscle stem cell treatment optimization system for female pelvic floor dysfunction according to claim 8, wherein: The pelvic floor dysfunction evaluation and optimization model adopts an SVM model improved based on tissue state parameters.

10. The smooth muscle stem cell treatment optimization system for female pelvic floor dysfunction according to claim 9, wherein: The calculation method of the SVM model improved based on tissue state parameters is as follows: wherein , are the normal vector and intercept of the hyperplane respectively, obtained by training using the first culture factor feature and the first culture method, is the output first culture method or second culture method, is the first tissue state parameter, is the second tissue state parameter, is the temperature during the culture of smooth muscle stem cells, is the theoretically optimal temperature during the culture of smooth muscle stem cells.

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