Three-dimensional microwave ablation instrument control system and method based on medical health big data

Abstract

The invention discloses a three-dimensional microwave ablation instrument control system and method based on medical health big data, and belongs to the field of data processing systems. Cancerous tissue characteristics of a corresponding area and normal tissue characteristics of the corresponding area are obtained for ablation area anomaly analysis; the method comprises the following steps: performing ablation difficulty analysis on the basis of the position overlapping degree of cancerous tissues and normal tissues in a corresponding region, and analyzing the required power of an ablatograph on the basis of an ablation difficulty analysis result, an ablation region anomaly analysis result and the stability of equipment. According to the microwave ablation instrument, in-depth ablation area abnormity analysis and ablation difficulty evaluation are carried out, and power setting required by the ablation instrument in different areas is finally determined in combination with the stability of the equipment, so that the accuracy and the effect of microwave ablation treatment can be improved, the risk of complications can be effectively reduced, and the safety and the treatment effect of a patient can be ensured.

Description

Technical Field

[0001] The present invention belongs to the field of data processing systems, and more specifically relates to a three-dimensional microwave ablation apparatus control system and method based on medical health big data. Background Art

[0002] A three-dimensional microwave ablation device is a minimally invasive treatment device used in the medical field. It is mainly used to ablate diseased tissues (such as tumors). By precisely controlling microwave energy, the target tissue is heated in three-dimensional space to achieve ablation of local lesions. This method has the advantages of high accuracy, low trauma, and fast recovery. It is widely used in the treatment of various tumors such as liver cancer, lung cancer, and breast cancer. When using a three-dimensional microwave ablation device, the existing technology does not conduct in-depth analysis of ablation area abnormalities and ablation difficulty assessment, and cannot be combined with the stability of the device. It can only determine the approximate range of power settings required by the ablation device in different areas, and cannot accurately determine the power required by the ablation device in different areas, resulting in inaccurate microwave ablation treatment. While the efficacy and effect are low, the risk of complications is also increased. The above problems exist in the prior art. For example, in the application number: CN115844524A, a method, device and electronic equipment for controlling microwave output power of an ablation device are provided, and the method includes: obtaining an initial power and an initial duration input by a user; determining a plurality of to-be-processed powers arranged in sequence according to the initial power, a preset negative increment and a preset minimum power; determining the output duration corresponding to each to-be-processed power according to a first function of the plurality of to-be-processed powers and the corresponding time of the output power and the minimum reflected power; and emitting a microwave signal according to the sequence of the plurality of to-be-processed powers, the output duration of each to-be-processed power and the initial duration. Different output powers can be output at different times, so that the output power changes with time, so that the size of the arrow-shaped carbonization zone can be effectively controlled according to the output power that changes with time during microwave ablation. However, when using a three-dimensional microwave ablation device, the abnormal analysis of the ablation area and the assessment of the difficulty of ablation are not in-depth, and the stability of the device cannot be combined. Only the approximate range of the power setting required by the ablation device in different areas can be determined, and the power required by the ablation device in different areas cannot be accurately determined, resulting in low accuracy and effect of microwave ablation treatment, and increasing the risk of complications.

[0003] In order to solve these problems, this application designs a three-dimensional microwave ablation control system and method based on medical and health big data. Summary of the invention

[0004] In response to the shortcomings of the prior art, the present invention proposes a three-dimensional microwave ablation device control system and method based on medical health big data. The present invention constructs a three-dimensional model according to the acquired cancerous tissue and normal tissue in the corresponding area, obtains the characteristics of the cancerous tissue in the corresponding area and the characteristics of the normal tissue in the corresponding area to perform abnormality analysis of the ablation area, performs ablation difficulty analysis based on the degree of positional overlap between the cancerous tissue and the normal tissue in the corresponding area, and performs analysis on the power required for the ablation device based on the ablation difficulty analysis results, the ablation area abnormality analysis results and the stability of the equipment. The present application systematically starts from the tissue characteristics of the corresponding area, constructs an accurate three-dimensional model, performs in-depth ablation area abnormality analysis and ablation difficulty assessment, and finally determines the power setting required for the ablation device in different areas in combination with the stability of the equipment. This not only helps to improve the accuracy and effectiveness of microwave ablation treatment, but also effectively reduces the risk of complications, ensuring the safety of patients and the treatment effect.

[0005] To achieve the above object, the present invention provides the following technical solution: a three-dimensional microwave ablation device control method based on medical health big data, which includes the following specific steps:

[0006] Acquire the cancerous tissue characteristics and the normal tissue characteristics of the corresponding area, and construct a three-dimensional model according to the acquired cancerous tissue and normal tissue of the corresponding area;

[0007] Obtaining the characteristics of cancerous tissues and normal tissues in the corresponding area to perform abnormal analysis of the ablation area;

[0008] The difficulty of ablation is analyzed based on the degree of overlap between the cancerous tissue and normal tissue in the corresponding area;

[0009] Analyze the power required by the ablation device based on the ablation difficulty analysis results, the ablation area abnormality analysis results, and the stability of the device;

[0010] The power of the ablation device is adjusted in real time to the power required for the ablation device to operate.

[0011] As a preferred technical solution of the three-dimensional microwave ablation device control method based on medical health big data, the acquisition of the cancerous tissue characteristics and the normal tissue characteristics of the corresponding area, and the construction of a three-dimensional model based on the acquired cancerous tissue and normal tissue of the corresponding area include the following specific steps:

[0012] S11, obtaining the size, cell density and image data of the cancerous tissue in the corresponding area through a medical imaging device, and storing the collected data of the cancerous tissue in a storage module;

[0013] S12, acquiring image data of normal tissue in the corresponding area, data on the connection between normal tissue and cancerous tissue, and data on the average number of neurons in the corresponding normal tissue, and storing the acquired data of normal tissue in a storage module;

[0014] S13, importing the acquired cancerous tissue characteristic data of the corresponding area and the normal tissue characteristic data of the corresponding area into the three-dimensional model building software to build a three-dimensional model of the corresponding area, so that medical personnel can intuitively feel the cancerous situation of the corresponding area.

[0015] As a preferred technical solution for the three-dimensional microwave ablation device control method based on medical health big data, the acquisition of the cancerous tissue characteristics of the corresponding area and the normal tissue characteristics of the corresponding area for abnormal analysis of the ablation area includes the following specific contents:

[0016] S21, obtaining the size, cell density and image data of the cancerous tissue in the corresponding area, and performing cancer abnormality analysis based on the size, shape and image data of the cancerous tissue;

[0017] S22, acquiring image data of normal tissue in the corresponding area and data of average number of neurons in the normal tissue, and analyzing ablation damage abnormality based on the image data of normal tissue in the corresponding area and data of average number of neurons in the normal tissue;

[0018] Among them, ablation and destruction of abnormalities include the following specific steps:

[0019] S221, acquiring real-time image data of normal tissue in the corresponding area and normal image data of normal tissue, and analyzing the ablation abnormality of the surrounding normal tissue by analyzing the pathological condition of the surrounding normal tissue;

[0020] S222, obtaining the ablation abnormality of the surrounding normal tissue and the number of neurons on the average area of ​​the corresponding normal tissue, dividing the number of neurons on the average area of ​​the corresponding normal tissue by the standard value of the number of neurons and then multiplying by the ablation abnormality of the surrounding normal tissue to obtain the ablation damage abnormality;

[0021] S23, obtaining the cancerous abnormality and the ablation damage abnormality, and obtaining the ablation area abnormality analysis result by dividing the cancerous abnormality by the ablation damage abnormality;

[0022] It should be noted that this step comprehensively analyzes the ablation abnormalities in the corresponding area through the abnormalities of the cancerous tissue and the ablation destruction abnormalities of the surrounding normal tissues.

[0023] As a preferred technical solution for the three-dimensional microwave ablation device control method based on medical health big data, the ablation difficulty analysis based on the overlap between the position of cancerous tissue and normal tissue in the corresponding area includes the following specific steps:

[0024] S31, obtaining the constructed three-dimensional model of the corresponding area, and obtaining the contact area between the cancerous tissue and the normal tissue from the three-dimensional model, wherein the specific steps of obtaining the contact area are: model geometry processing, importing the three-dimensional models of the cancerous tissue and the normal tissue into geometry processing software or library (such as VTK, Open3D) respectively, and ensuring that the geometry formats of the models are consistent (such as STL, OBJ); contact area calculation: calculating the contact area between the cancerous tissue and the normal tissue model; using geometry processing tools or programming libraries (such as CGAL, VTK) to analyze the intersection of the two models; area extraction: extracting the polygonal mesh of the contact area, and using the three-dimensional model analysis tool to calculate the surface area of ​​the contact area;

[0025] S32, obtaining a position overlap degree between the cancerous tissue and the normal tissue based on the contact area between the cancerous tissue and the normal tissue divided by the standard contact area of ​​the corresponding area, and setting the position overlap degree as the ablation difficulty;

[0026] In this step, the ablation difficulty is obtained by analyzing the degree of overlap between the cancerous tissue and normal tissue. That is, the higher the degree of overlap, the greater the contact between the cancerous tissue and normal tissue, which makes it easier to have a negative impact on the normal tissue during the ablation process.

[0027] As a preferred technical solution for the three-dimensional microwave ablation device control method based on medical health big data, the analysis of the power required by the ablation device based on the ablation difficulty analysis results, the ablation area abnormality analysis results and the stability of the device includes the following specific steps:

[0028] S41, obtaining the stable output of the ablation power during the previous cycle of the ablation device to analyze the stability of the device. The analysis method may be: taking the output curve of the ablation power during the previous cycle, finding the standard deviation of the ablation power during the previous cycle, obtaining the volatility of the ablation power, and obtaining the inverse after standardization to obtain the device stability analysis result. Since the output power of the device is too high or fluctuates greatly, normal tissues may be damaged due to overheating, increasing the risk of side effects;

[0029] S42. Obtain the abnormal analysis results of the ablation area, the ablation difficulty and the device stability, and at the same time obtain the standard output power of the ablation device, and analyze the power required by the ablation device based on the abnormal analysis results of the ablation area, the ablation difficulty, the device stability and the standard output power of the ablation device.

[0030] A three-dimensional microwave ablation device control system based on medical and health big data is implemented based on the above-mentioned three-dimensional microwave ablation device control method based on medical and health big data, and specifically includes a data acquisition module, a three-dimensional model construction module, an ablation area abnormality analysis module, an ablation difficulty analysis module, a required power analysis module, a power adjustment module and a control module, wherein the data acquisition module is used to obtain the cancerous tissue characteristics of the corresponding area and the normal tissue characteristics of the corresponding area, the three-dimensional model construction module is used to construct a three-dimensional model according to the acquired cancerous tissue and normal tissue of the corresponding area, and the ablation area abnormality analysis module is used to obtain the cancerous tissue characteristics of the corresponding area and the normal tissue characteristics of the corresponding area to perform ablation area abnormality analysis.

[0031] As a preferred technical solution for a three-dimensional microwave ablation device control system based on medical and health big data, the ablation difficulty analysis module performs ablation difficulty analysis based on the degree of positional overlap between cancerous tissue and normal tissue in the corresponding area. The required power analysis module performs analysis on the power required by the ablation device based on the ablation difficulty analysis results, the ablation area abnormality analysis results and the stability of the equipment. The power adjustment module is used to adjust the power of the ablation device to the power required by the ablation device in real time for operation.

[0032] As an optimal technical solution for the three-dimensional microwave ablation device control system based on medical and health big data, the control module is used to control the normal operation of the data acquisition module, the three-dimensional model construction module, the ablation area abnormality analysis module, the ablation difficulty analysis module, the power required analysis module and the power regulation module.

[0033] An electronic device comprises: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0034] The processor executes the above-mentioned three-dimensional microwave ablation device control method based on medical and health big data by calling the computer program stored in the memory.

[0035] A computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the above-mentioned three-dimensional microwave ablation device control method based on medical and health big data.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] The present invention obtains the cancerous tissue characteristics of the corresponding area and the normal tissue characteristics of the corresponding area, constructs a three-dimensional model according to the obtained cancerous tissue and normal tissue of the corresponding area, obtains the cancerous tissue characteristics of the corresponding area and the normal tissue characteristics of the corresponding area to perform ablation area abnormality analysis, performs ablation difficulty analysis based on the degree of positional overlap between the cancerous tissue and normal tissue in the corresponding area, and performs analysis on the power required by the ablation device based on the ablation difficulty analysis results, the ablation area abnormality analysis results and the stability of the equipment. The present application starts from the tissue characteristics of the corresponding area, constructs an accurate three-dimensional model, performs in-depth ablation area abnormality analysis and ablation difficulty assessment, and finally determines the power setting required for the ablation device in different areas in combination with the stability of the equipment. This not only helps to improve the accuracy and effectiveness of microwave ablation treatment, but also effectively reduces the risk of complications, ensuring the safety of patients and the treatment effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a schematic diagram of the overall flow of the three-dimensional microwave ablation device control method based on medical health big data of the present invention;

[0039] Figure 2 It is a schematic diagram of step S2 of the three-dimensional microwave ablation apparatus control method based on medical health big data of the present invention;

[0040] Figure 3 It is a schematic diagram of the overall process of parameter analysis of the three-dimensional microwave ablation device control method based on medical health big data of the present invention;

[0041] Figure 4 It is a schematic diagram of the overall framework of the three-dimensional microwave ablation device control system based on medical health big data of the present invention. DETAILED DESCRIPTION

[0042] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0043] Example 1

[0044] The technical problem solved by this embodiment is that the prior art does not conduct in-depth analysis of abnormalities in the ablation area and assessment of ablation difficulty when using a three-dimensional microwave ablation device, and cannot combine the stability of the device. It can only determine the approximate range of power settings required by the ablation device in different areas, but cannot accurately determine the power required by the ablation device in different areas, resulting in low accuracy and effect of microwave ablation treatment, and also increasing the risk of complications.

[0045] To solve the above problems, please refer to Figures 1 to 3The present invention provides a preferred embodiment: a three-dimensional microwave ablation device control method based on medical health big data, which includes the following specific steps:

[0046] S1, acquiring characteristics of cancerous tissues and normal tissues in a corresponding region, and constructing a three-dimensional model according to the acquired characteristics of cancerous tissues and normal tissues in the corresponding region;

[0047] In this embodiment, the cancerous tissue characteristics and the normal tissue characteristics of the corresponding region are obtained, and the three-dimensional model is constructed according to the obtained cancerous tissue and normal tissue of the corresponding region, including the following specific steps:

[0048] S11, obtaining the size, cell density and image data of the cancerous tissue in the corresponding area through a medical imaging device, wherein the medical imaging device may be an ultrasonic imaging device, a CT imaging device or other medical device for imaging tumors, and storing the collected data of the cancerous tissue in a storage module;

[0049] S12, acquiring image data of normal tissue in the corresponding area, data on the connection between normal tissue and cancerous tissue, and data on the average number of neurons in the corresponding normal tissue, and storing the acquired data of the normal tissue in a storage module;

[0050] S13, importing the acquired cancerous tissue characteristic data of the corresponding area and the normal tissue characteristic data of the corresponding area into a three-dimensional model building software to build a three-dimensional model of the corresponding area, so that medical personnel can intuitively feel the cancerous situation of the corresponding area;

[0051] S2, obtaining the characteristics of cancerous tissue in the corresponding area and the characteristics of normal tissue in the corresponding area to perform abnormal analysis on the ablation area;

[0052] In this embodiment, obtaining the cancerous tissue characteristics of the corresponding area and the normal tissue characteristics of the corresponding area to perform abnormal analysis of the ablation area includes the following specific contents:

[0053] S21, obtaining the size, cell density and image data of the cancerous tissue in the corresponding area, and performing cancer abnormality analysis based on the size, shape and image data of the cancerous tissue, wherein the cancer abnormality analysis formula is preferably: Wherein, Pc is the cell density of cancerous tissue, Vm is the standard value of cell density of cancerous tissue, N is the number of pixels of cancerous tissue image, xi is the pixel value of the i-th pixel of cancerous tissue image, and xim is the pixel value of the i-th pixel of normal tissue corresponding to the cancerous tissue image. Through this step, the size, shape and image data of cancerous tissue are quantitatively analyzed to obtain the abnormal analysis result of canceration;

[0054] S22, acquiring image data of normal tissue in the corresponding area and data of average number of neurons in the normal tissue, and analyzing ablation damage abnormality based on the image data of normal tissue in the corresponding area and data of average number of neurons in the normal tissue;

[0055] Among them, ablation and destruction of abnormalities include the following specific steps:

[0056] S221. Real-time image data of normal tissues in the corresponding area and normal image data of normal tissues are obtained. The normal images here refer to normal images of corresponding tissues of normal people without tumors. It should be noted that since cancerous tissues absorb nutrients from surrounding normal tissues, causing lesions in surrounding normal tissues, this will affect the anti-ablation ability of surrounding normal tissues. Therefore, the ablation abnormality of surrounding normal tissues is analyzed by analyzing the lesions of surrounding normal tissues. The calculation formula for ablation abnormality of surrounding normal tissues is: Wherein, M is the number of normal tissue pixels in the corresponding area, cj is the pixel value of the jth pixel of the normal tissue in the corresponding area, and cjm is the pixel value of the jth pixel of the normal image of the normal tissue;

[0057] S222, obtaining the ablation abnormality of the surrounding normal tissue and the number of neurons on the average area of ​​the corresponding normal tissue, dividing the number of neurons on the average area of ​​the corresponding normal tissue by the standard value of the number of neurons and then multiplying by the ablation abnormality of the surrounding normal tissue to obtain the ablation damage abnormality;

[0058] S23, obtaining the cancerous abnormality and the ablation damage abnormality, and obtaining the ablation area abnormality analysis result by dividing the cancerous abnormality by the ablation damage abnormality;

[0059] It should be noted that this step comprehensively analyzes the ablation abnormalities in the corresponding area through the abnormalities of the cancerous tissue and the ablation destruction abnormalities of the surrounding normal tissues;

[0060] S3, performing ablation difficulty analysis based on the degree of overlap between the cancerous tissue and normal tissue in the corresponding area;

[0061] In this embodiment, the ablation difficulty analysis based on the overlap between the cancerous tissue and the normal tissue in the corresponding area includes the following specific steps:

[0062] S31, obtaining the constructed three-dimensional model of the corresponding area, and obtaining the contact area between the cancerous tissue and the normal tissue from the three-dimensional model, wherein the specific steps of obtaining the contact area are: model geometry processing, importing the three-dimensional models of the cancerous tissue and the normal tissue into geometry processing software or library (such as VTK, Open3D) respectively, and ensuring that the geometry formats of the models are consistent (such as STL, OBJ); contact area calculation: calculating the contact area between the cancerous tissue and the normal tissue model; using geometry processing tools or programming libraries (such as CGAL, VTK) to analyze the intersection of the two models; area extraction: extracting the polygonal mesh of the contact area, and using the three-dimensional model analysis tool to calculate the surface area of ​​the contact area;

[0063] S32, based on the contact area between the cancerous tissue and the normal tissue divided by the standard contact area of ​​the corresponding area, the position overlap degree between the cancerous tissue and the normal tissue is obtained, and the position overlap degree is set as the ablation difficulty; in this step, the ablation difficulty is obtained by analyzing the position overlap degree between the cancerous tissue and the normal tissue, that is, the higher the position overlap degree, the greater the contact degree between the cancerous tissue and the normal tissue, so that it is easier to cause negative impact on the normal tissue during the ablation process;

[0064] S4. Analyze the power required by the ablation device based on the ablation difficulty analysis results, the ablation area abnormality analysis results, and the stability of the device;

[0065] In this embodiment, the analysis of the power required by the ablation device based on the ablation difficulty analysis result, the ablation area abnormality analysis result, and the stability of the device includes the following specific steps:

[0066] S41, obtaining the stable output of the ablation power during the previous cycle of the ablation device to analyze the stability of the device. The analysis method may be: taking the output curve of the ablation power during the previous cycle, finding the standard deviation of the ablation power during the previous cycle, obtaining the volatility of the ablation power, and obtaining the inverse after standardization to obtain the device stability analysis result. Since the output power of the device is too high or fluctuates greatly, normal tissues may be damaged due to overheating, increasing the risk of side effects;

[0067] S42, obtaining the analyzed abnormal analysis results of the ablation area, the ablation difficulty, and the device stability, and obtaining the standard output power of the ablation device, and analyzing the required power of the ablation device based on the abnormal analysis results of the ablation area, the ablation difficulty, the device stability, and the standard output power of the ablation device. The required power of the ablation device is calculated as follows: Among them, Pm is the standard output power of the ablation device, Hg is the abnormal analysis result of the ablation area, Nd is the ablation difficulty, Wd is the device stability, Hgm is the standard value of the abnormal analysis result of the ablation area, Ndm is the standard value of the ablation difficulty, Wdm is the standard value of the device stability, λ1 is the difficulty weight, λ2 is the stability ratio weight, and the Pm here is matched and calculated according to the thermal conductivity and electrical conductivity of different physiological positions. This is a conventional technical means in the prior art. The power selection of microwave ablation in the prior art needs to be personalized according to the location and characteristics of the target tissue. The common ablation power ranges are as follows: liver: 60-100W; lungs: 3 0-80W; breast: 20-50W; pancreas: 50-90W; thyroid: 30-60W; bone and soft tissue: 50-100W. The power setting needs to refer to the specific equipment manual and clinical guidelines. The value of each setting parameter is obtained as follows: the cancerous tissue characteristics of the corresponding area of ​​the historical data and the normal tissue characteristics of the corresponding area are obtained and substituted into each step of this embodiment to analyze the power required by the ablation device, and the operation data judged as qualified for ablation in the history are obtained. The analysis results of the power required by the ablation device and the judgment results of whether the ablation is qualified are imported into the fitting software, and continuous fitting analysis is performed to output the values ​​of each setting parameter that meets the maximum judgment accuracy;

[0068] S5. Real-timely adjust the power of the ablation device to the power required for the ablation device to operate;

[0069] It should be noted that in this embodiment, the technical effect that can be produced by this embodiment is: starting from the tissue characteristics of the corresponding area, an accurate three-dimensional model is constructed, in-depth abnormality analysis of the ablation area and ablation difficulty assessment are performed, and combined with the stability of the equipment, the power setting required for the ablation device in different areas is finally determined. This not only helps to improve the accuracy and effectiveness of microwave ablation treatment, but also effectively reduces the risk of complications and ensures the safety of patients and treatment effects.

[0070] Example 2

[0071] like Figure 4As shown, a three-dimensional microwave ablation device control system based on medical and health big data is implemented based on the above-mentioned three-dimensional microwave ablation device control method based on medical and health big data, and specifically includes a data acquisition module, a three-dimensional model construction module, an ablation area abnormality analysis module, an ablation difficulty analysis module, a required power analysis module, a power adjustment module and a control module, wherein the data acquisition module is used to obtain the characteristics of cancerous tissue in the corresponding area and the characteristics of normal tissue in the corresponding area, the three-dimensional model construction module is used to construct a three-dimensional model according to the acquired cancerous tissue and normal tissue in the corresponding area, the ablation area abnormality analysis module is used to obtain the characteristics of cancerous tissue in the corresponding area and the characteristics of normal tissue in the corresponding area to perform ablation area abnormality analysis; the ablation difficulty analysis module performs ablation difficulty analysis based on the degree of overlap between the cancerous tissue and the normal tissue in the corresponding area, the required power analysis module performs analysis on the required power of the ablation device based on the ablation difficulty analysis result, the ablation area abnormality analysis result and the stability of the equipment, and the power adjustment module is used to adjust the power of the ablation device to the required power of the ablation device in real time for operation; the control module is used to control the normal operation of the data acquisition module, the three-dimensional model construction module, the ablation area abnormality analysis module, the ablation difficulty analysis module, the required power analysis module and the power adjustment module.

[0072] Example 3

[0073] This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0074] The processor executes the above-mentioned three-dimensional microwave ablation device control method based on medical and health big data by calling the computer program stored in the memory.

[0075] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors (Central Processing Units, CPU) and one or more memories, wherein the memory stores at least one computer program, and the computer program is loaded and executed by the processor to implement the three-dimensional microwave ablation device control method based on medical health big data provided by the above method embodiment. The electronic device may also include other components for realizing the functions of the device, for example, the electronic device may also have components such as a wired or wireless network interface and an input and output interface to input and output data. This embodiment will not be described in detail here.

[0076] Example 4

[0077] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;

[0078] When the computer program runs on a computer device, the computer device executes the above-mentioned three-dimensional microwave ablation device control method based on medical health big data.

[0079] For example, the computer readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, etc.

[0080] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only one way of division, and there may be other ways of division in actual implementation, for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0081] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A three-dimensional microwave ablation device control method based on medical health big data, characterized in that: It includes the following specific steps: Acquire the cancerous tissue characteristics and the normal tissue characteristics of the corresponding area, and construct a three-dimensional model according to the acquired cancerous tissue and normal tissue of the corresponding area; Obtaining the characteristics of cancerous tissues and normal tissues in the corresponding area to perform abnormal analysis of the ablation area; The difficulty of ablation is analyzed based on the degree of overlap between the cancerous tissue and normal tissue in the corresponding area; Analyze the power required by the ablation device based on the ablation difficulty analysis results, the ablation area abnormality analysis results, and the stability of the device; The power of the ablation device is adjusted in real time to the power required for the ablation device to operate.

2. The three-dimensional microwave ablation device control method based on medical health big data according to claim 1, characterized in that: The acquisition of the cancerous tissue characteristics of the corresponding area and the normal tissue characteristics of the corresponding area for abnormal analysis of the ablation area includes the following specific contents: Acquire the size, cell density and image data of the cancerous tissue in the corresponding area, and perform cancer abnormality analysis based on the size, cell density and image data of the cancerous tissue; Acquire image data of normal tissue in the corresponding area and data of average number of neurons in the normal tissue, and analyze ablation damage abnormality based on the image data of normal tissue in the corresponding area and data of average number of neurons in the normal tissue; The cancerous abnormality and ablation damage abnormality are obtained, and the ablation area abnormality analysis result is obtained by dividing the cancerous abnormality by the ablation damage abnormality.

3. The three-dimensional microwave ablation device control method based on medical health big data according to claim 2, characterized in that: The ablation and destruction of abnormalities comprises the following specific steps: Acquire real-time image data of normal tissue in the corresponding area and normal image data of normal tissue, and analyze the ablation abnormality of surrounding normal tissue by analyzing the pathological conditions of surrounding normal tissue; The ablation abnormality of the surrounding normal tissue and the data of the number of neurons on the average area of ​​the corresponding normal tissue are obtained, and the data of the number of neurons on the average area of ​​the corresponding normal tissue are divided by the standard value of the number of neurons and then multiplied by the ablation abnormality of the surrounding normal tissue to obtain the ablation destruction abnormality.

4. The three-dimensional microwave ablation device control method based on medical health big data according to claim 3, characterized in that: The ablation difficulty analysis based on the overlap between the cancerous tissue and the normal tissue in the corresponding area includes the following specific steps: Obtaining the constructed three-dimensional model of the corresponding area, and obtaining the contact area between the cancerous tissue and the normal tissue from the three-dimensional model; The position overlap degree between the cancerous tissue and the normal tissue is obtained by dividing the contact area between the cancerous tissue and the normal tissue by the standard contact area of ​​the corresponding area, and the position overlap degree is set as the ablation difficulty.

5. The three-dimensional microwave ablation device control method based on medical health big data according to claim 4, characterized in that: The analysis of the power required by the ablation device based on the ablation difficulty analysis result, the ablation area abnormality analysis result and the stability of the device includes the following specific steps: The stable output of the ablation power during the previous cycle of the ablation device is obtained to analyze the stability of the device. The analysis method can be: taking the output curve of the ablation power during the previous cycle, finding the standard deviation of the ablation power during the previous cycle, obtaining the volatility of the ablation power, and obtaining the inverse after standardization to obtain the device stability analysis result; The abnormal analysis results of the ablation area, the ablation difficulty and the device stability are obtained, and the standard output power of the ablation device is obtained. Based on the abnormal analysis results of the ablation area, the ablation difficulty, the device stability and the standard output power of the ablation device, the required power of the ablation device is analyzed.

6. The three-dimensional microwave ablation device control method based on medical health big data according to claim 5, characterized in that: The step of acquiring the cancerous tissue characteristics and the normal tissue characteristics of the corresponding region and constructing a three-dimensional model according to the acquired cancerous tissue and normal tissue of the corresponding region comprises the following specific steps: The size, cell density and image data of the cancerous tissue in the corresponding area are obtained through medical imaging equipment, and the collected data of the cancerous tissue is stored in a storage module; Acquire image data of normal tissue in the corresponding area, data on the connection between normal tissue and cancerous tissue, and data on the average number of neurons in the corresponding normal tissue, and store the acquired data of normal tissue in a storage module; The acquired cancerous tissue characteristic data and normal tissue characteristic data of the corresponding area are imported into the three-dimensional model construction software to construct a three-dimensional model of the corresponding area, so that medical personnel can intuitively feel the cancerous situation of the corresponding area.

7. A three-dimensional microwave ablation device control system based on medical health big data, which is implemented based on the three-dimensional microwave ablation device control method based on medical health big data as claimed in any one of claims 1 to 6, characterized in that: It specifically includes a data acquisition module, a three-dimensional model construction module, an ablation area abnormality analysis module, an ablation difficulty analysis module, a required power analysis module, a power adjustment module and a control module, wherein the data acquisition module is used to obtain the cancerous tissue characteristics of the corresponding area and the normal tissue characteristics of the corresponding area, the three-dimensional model construction module is used to construct a three-dimensional model based on the acquired cancerous tissue and normal tissue of the corresponding area, and the ablation area abnormality analysis module is used to obtain the cancerous tissue characteristics of the corresponding area and the normal tissue characteristics of the corresponding area to perform ablation area abnormality analysis.

8. The three-dimensional microwave ablation control system based on medical health big data according to claim 7, characterized in that: The ablation difficulty analysis module performs ablation difficulty analysis based on the degree of positional overlap between cancerous tissue and normal tissue in the corresponding area. The required power analysis module performs analysis on the power required by the ablation device based on the ablation difficulty analysis results, the ablation area abnormality analysis results and the stability of the equipment. The power adjustment module is used to adjust the power of the ablation device to the power required by the ablation device in real time for operation.

9. An electronic device, comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; It is characterized in that the processor executes the three-dimensional microwave ablation device control method based on medical and health big data as described in any one of claims 1 to 6 by calling the computer program stored in the memory.

10. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer executes the three-dimensional microwave ablation device control method based on medical and health big data as described in any one of claims 1-6.

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