Method and system for planning twinborn before personalized hepatic resection

Abstract

The invention discloses a method and a system for planning twinborn before personalized hepatic resection. On one hand, the personalized preoperative twinborn planning method for the hepatic resection comprises the following steps: acquiring preoperative information of a target patient to construct a predetermined patient liver twinborn three-dimensional model; a liver CT image three-dimensional model is generated, and the volumes of the liver and the focus are obtained through calculation; classification and integration of the information are implemented so that clinicians can call the information conveniently; rapidly measuring to obtain the size of the liver lesion part of the patient; a liver resection treatment simulated twinborn model is constructed to display a predetermined anatomical structure of the liver of a patient to assist a clinician in preoperative planning of a personalized surgical plan. On the other hand, the invention provides a personalized twin planning system before the hepatic resection, wherein the personalized twin planning method before the hepatic resection is adopted by the personalized twin planning system before the hepatic resection. The method has the advantage that preoperative patient information can be integrated to construct the liver resection treatment simulation twinborn model so as to assist clinical doctors in preoperative planning of personalized surgical plans.

Description

Technical Field

[0001] The present invention relates to the field of medical technology, and more specifically, to a personalized twinning method and system for preoperative planning of liver resection. Background Art

[0002] At present, liver tumors are often analyzed through modern medical diagnosis and treatment methods combined with computer technology to perform preoperative surgical simulations and then plan personalized surgical plans.

[0003] However, when using computer technology, namely computed tomography (CT), to perform preoperative examinations on patients, the scan results can only be presented to clinicians in the form of two-dimensional images. Based on the two-dimensional images, clinicians mark the resected surface of the liver tumor and plan personalized surgical plans based on the clinician's judgment. Although this method can meet certain needs, clinicians' experience varies from person to person. When they mark the resected surface of the liver tumor based on their own experience and judgment, they often cannot obtain accurate marking results, which in turn affects the accuracy of preoperative planning and is difficult to meet actual application needs.

[0004] How to solve the above problems has become a technical problem that needs to be solved urgently. Summary of the invention

[0005] One of the purposes of the present invention is to provide a personalized twin method for preoperative planning of liver resection, which can integrate preoperative patient information to construct a liver resection treatment simulation twin model to assist clinicians in preoperative planning of personalized surgical plans.

[0006] Another object of the present invention is to provide a personalized hepatectomy preoperative planning twin system using the above-mentioned personalized hepatectomy preoperative planning twin method.

[0007] In order to achieve the above object, the technical solution adopted by the present invention is as follows:

[0008] In one aspect, the present invention provides a personalized twinning method for preoperative planning of liver resection; the method comprises the following steps:

[0009] S1. Collecting the preoperative information of the target patient according to a predetermined standard, processing the collected information according to a predetermined standard by a predetermined three-dimensional reconstruction technology to construct a predetermined patient liver twin three-dimensional model, and storing and processing the above data;

[0010] S2, automatically identifying the corresponding lesions and small blood vessels in the patient's liver twin three-dimensional model in step S1 according to a predetermined standard and synchronously generating a liver CT image three-dimensional model, and then performing volume calculation processing on the corresponding liver and lesions in the liver CT image three-dimensional model according to a predetermined standard using a predetermined algorithm, thereby obtaining and storing the volume result data of the liver and lesions;

[0011] S3, integrating the target patient's preoperative data information on a first operation surface according to a predetermined standard, and integrating the corresponding three-dimensional model data information on a second operation surface, thereby realizing classified integration of information for easy access by clinicians;

[0012] S4, extracting the patient's liver information from step S3 according to a predetermined standard and displaying it on a predetermined interface for the clinician to view in real time and for the clinician to quickly measure the size of the patient's liver lesion according to the predetermined standard;

[0013] S5. Based on the patient's liver information and the size of the liver lesion in step S4, a predetermined liver resection treatment simulation twin model is constructed according to predetermined standards. The liver resection treatment simulation twin model can display the predetermined anatomical structure of the patient's liver to assist clinicians in preoperative planning of personalized surgical plans.

[0014] Preferably, in step S1, the patient's liver twin three-dimensional model includes the liver, the bile duct of the intrahepatic vessels, the portal vein, the hepatic artery and the hepatic vein, and the tissue information related to the lesion area.

[0015] Preferably, in step S2, the predetermined algorithm used is the DTA algorithm, and its formula is:

[0016] volume=k x ∑ i (x i n xi Δa i )+k y ∑ i (y i n yi Δa i )+k z ∑ i (z i n zi Δa i ) (1)

[0017]

[0018] Among them, x, y, z are coordinate coefficients; k x , k y , and k zThe coefficient that sums to 1; Δa i is the calculus surface, x i ,y i 、z i are vector components, Δx, Δy, Δz are voxel dimensions, and n zi 、n yi 、n xi It is a unit vector component. Assuming Δx=Δy=Δz, the calculus surface area is reduced to the normal component of the reciprocal of the maximum unit absolute value, and volume represents the volume.

[0019] Preferably, in step S3, the preoperative data information of the target patient includes the patient's name, age, BMI, hospitalization date, current medical history, past medical history, preoperative liver function indicators, preoperative preliminary diagnosis results, and calculated diagnostic data of the liver and lesion volumes; the three-dimensional model of the target patient includes a three-dimensional twin model of the patient's liver and a three-dimensional model of liver CT images.

[0020] Preferably, in step S4, it also includes the following steps:

[0021] S4.1. Extracting the patient's corresponding preoperative data information and three-dimensional model information from step S3 according to a predetermined standard;

[0022] S4.2, displaying the corresponding lesion and the surrounding organ relationship of the predetermined three-dimensional model of the information extracted in step S4.1 in real time on a predetermined interface for viewing by a clinician according to a predetermined standard;

[0023] S4.3. Based on the predetermined standard, the predetermined position of the liver in the three-dimensional model in step S4.2 is changed through a predetermined gesture operation, so as to facilitate the clinician to adopt a predetermined measurement method according to the predetermined standard to quickly measure the size of the patient's liver lesion site according to the needs, and then obtain the liver lesion site size result data.

[0024] Preferably, in step S4.3, the predetermined measurement method is: the clinician arbitrarily rotates and transforms the predetermined position of the liver in the predetermined three-dimensional model on the predetermined interface, thereby adjusting the predetermined position of the liver to an appropriate position, and then directly uses a finger to draw a distance on the predetermined three-dimensional model, and the distance is the diameter of the lesion, that is, the diameter of the tumor can be obtained by measuring the distance between two points, thereby performing preprocessing based on the predetermined standard to obtain the two-dimensional coordinate value on the predetermined interface, and then using a predetermined three-dimensional picking algorithm to obtain the three-dimensional coordinates of the two points according to the predetermined standard, and the accurate distance between the two points on the surface of the lesion can be obtained by the following formula:

[0025]

[0026] Wherein, D is the real distance between the two points; (x1, y1, z1) (x2, y2, z2) are the three-dimensional coordinate values ​​of the two points obtained by a predetermined three-dimensional picking algorithm.

[0027] Preferably, in step S5, it also includes the following steps:

[0028] S5.1. In a predetermined Unity environment, based on the patient's predetermined liver information and the size of the liver lesion, a predetermined program module is used to construct a predetermined liver resection treatment simulation twin model according to predetermined standards to display the predetermined liver model of the target patient in real time;

[0029] S5.2. Use the predetermined Oculus Integration SDK to capture and track gesture recognition technology to perform movement and rotation operations on the predetermined liver model in step S5.1, so as to adjust the display interface of the predetermined liver model to an appropriate position, and then fully display the predetermined anatomical structure of the predetermined liver model, so as to facilitate real-time viewing by clinicians, and also enable clinicians to control the predetermined program through predetermined voice commands according to the display information to implement preoperative planning to assist clinicians in formulating personalized surgical plans.

[0030] On the other hand, the present invention provides a personalized twin system for preoperative hepatectomy planning using the above-mentioned personalized twin method for preoperative hepatectomy planning, which includes a data acquisition module connected to a hospital HIS system for information interaction; and also includes a data analysis and processing module, an information integration module, a preoperative hepatectomy information twin module and a virtual reality interaction module which are sequentially connected and connected to the data acquisition module to implement information interaction; wherein,

[0031] The data acquisition module is used to collect the preoperative information of the target patient from the hospital HIS system according to the predetermined standard, and to process the collected information according to the predetermined standard by using the predetermined three-dimensional reconstruction technology preset in the data acquisition module to construct a predetermined patient liver twin three-dimensional model, and at the same time transmit the above data to the data analysis and processing module for storage;

[0032] The data analysis and processing module is used to automatically perform recognition processing on the corresponding lesions and small blood vessel information in the patient's liver twin three-dimensional model according to a predetermined standard and synchronously generate a liver CT image three-dimensional model, and at the same time, use a predetermined algorithm preset in the data analysis and processing module to perform volume calculation processing on the corresponding liver and lesions in the liver CT image three-dimensional model according to a predetermined standard, thereby obtaining and storing the volume result data of the liver and lesions;

[0033] The information integration module is used to integrate the target patient's preoperative data and the liver and lesion volume result data information on the first operation plane according to a predetermined standard, and to integrate the patient's liver twin 3D model and liver CT image 3D model data information in the 3D model on the second operation plane, thereby realizing classified integration of information for easy access by clinicians;

[0034] The pre-hepatectomy information twin module is used to extract the patient's liver information from the information integration module according to a predetermined standard and display it on a predetermined interface for the clinician to view in real time and for the clinician to quickly measure the size of the patient's liver lesion according to the predetermined standard;

[0035] The virtual reality interaction module is used to construct a predetermined liver resection treatment simulation twin model according to predetermined standards based on the patient's liver information and the size of the liver lesion site. The liver resection treatment simulation twin model can display the predetermined anatomical structure of the patient's liver to assist clinicians in preoperative planning of personalized surgical plans.

[0036] Preferably, the data analysis and processing module includes an image data processing unit, a data analysis unit and a database unit; wherein,

[0037] The image data processing unit is used to automatically identify and process the corresponding lesions and small blood vessel information in the patient's liver twin three-dimensional model according to a predetermined standard and synchronously generate a liver CT image three-dimensional model and store it in the database unit;

[0038] The data analysis unit is used to perform volume calculation processing on the corresponding liver and lesion in the three-dimensional model of liver CT image according to a predetermined standard and using a predetermined algorithm to obtain volume result data of the liver and lesion and store them in the database unit;

[0039] The database unit is used to store and process the target patient's preoperative information, the liver CT image three-dimensional model, and the liver and lesion volume result data in the liver CT image three-dimensional model in a predetermined format according to predetermined standards.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] In the present invention, the preoperative information of the target patient is collected according to a predetermined standard, and the collected information is processed according to a predetermined standard by a predetermined three-dimensional reconstruction technology to construct a predetermined patient liver twin three-dimensional model, and the above data is stored and processed at the same time. Then, a predetermined technology is used to automatically identify the corresponding lesions and small blood vessels in the patient's liver twin three-dimensional model and synchronously generate a liver CT image three-dimensional model. Then, a predetermined algorithm is used to perform volume calculation processing on the corresponding liver and lesions in the liver CT image three-dimensional model, and then the volume result data of the liver and lesions are obtained and stored; then, the preoperative data information of the target patient is integrated on the first operating surface by a predetermined program technology, and the corresponding three-dimensional twin model is stored and processed. The dimensional model data information is integrated on the second operating interface, thereby realizing the classification and integration of information for easy access by clinicians; then the patient's liver information is extracted and displayed on a predetermined interface for clinicians to view in real time and for clinicians to quickly measure the size of the patient's liver lesion according to predetermined standards; based on the patient's liver information and the size of the liver lesion, a predetermined liver resection treatment simulation twin model is constructed according to predetermined standards, and the liver resection treatment simulation twin model can be used to display the predetermined anatomical structure of the patient's liver to assist clinicians in preoperative planning of personalized surgical plans; therefore, the present invention has the advantage of being able to integrate preoperative patient information to construct a liver resection treatment simulation twin model to assist clinicians in preoperative planning of personalized surgical plans. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0043] Figure 1 It is a flowchart of a personalized twin method for preoperative planning of liver resection according to the present invention;

[0044] Figure 2 This is a structural block diagram of a personalized twin system for preoperative planning of liver resection described in the present invention.

[0045] Explanation of the accompanying drawings: 1. Hospital HIS system, 2. Data acquisition module, 3. Data analysis and processing module, 31. Image data processing unit, 32. Data analysis unit, 33. Database unit, 4. Information integration module, 5. Pre-hepatectomy information twin module, 6. Virtual reality interaction module. DETAILED DESCRIPTION

[0046] See also Figure 1 to Figure 2 A personalized twinning method for preoperative planning of liver resection is shown; the method comprises the following steps:

[0047] S1. Collecting the preoperative information of the target patient according to a predetermined standard, processing the collected information according to a predetermined standard by a predetermined three-dimensional reconstruction technology to construct a predetermined patient liver twin three-dimensional model, and storing and processing the above data;

[0048] S2, automatically identifying the corresponding lesions and small blood vessels in the patient's liver twin three-dimensional model in step S1 according to a predetermined standard and synchronously generating a liver CT image three-dimensional model, and then performing volume calculation processing on the corresponding liver and lesions in the liver CT image three-dimensional model according to a predetermined standard using a predetermined algorithm, thereby obtaining and storing the volume result data of the liver and lesions;

[0049] S3, integrating the target patient's preoperative data information on a first operation surface according to a predetermined standard, and integrating the corresponding three-dimensional model data information on a second operation surface, thereby realizing classified integration of information for easy access by clinicians;

[0050] S4, extracting the patient's liver information from step S3 according to a predetermined standard and displaying it on a predetermined interface for the clinician to view in real time and for the clinician to quickly measure the size of the patient's liver lesion according to the predetermined standard;

[0051] S5. Based on the patient's liver information and the size of the liver lesion in step S4, a predetermined liver resection treatment simulation twin model is constructed according to predetermined standards. The liver resection treatment simulation twin model can display the predetermined anatomical structure of the patient's liver to assist clinicians in preoperative planning of personalized surgical plans.

[0052] In this embodiment, in step S1, the patient's liver twin three-dimensional model includes the liver, the bile duct of the intrahepatic vessels, the portal vein, the hepatic artery and the hepatic vein, and the tissue information related to the lesion area.

[0053] In this embodiment, in step S2, the predetermined algorithm used is the DTA algorithm, and its formula is:

[0054] volume=k x ∑ i (x i n xi Δa i )+k y ∑ i (y i n yi Δa i )+k z ∑ i (z i n zi Δa i ) (1)

[0055]

[0056] Among them, x, y, z are coordinate coefficients; k x , k y , and k z The coefficient that sums to 1; Δa i is the calculus surface, x i ,y i 、z i are vector components, Δx, Δy, Δz are voxel dimensions, and n zi 、n yi 、n xi is a unit vector component. Assume Δx=Δy=Δz, then the calculus surface area is reduced to the normal component of the reciprocal of the maximum unit absolute value. Volume represents the volume, that is, the patient's liver volume and lesion volume can be obtained by the above calculation formula.

[0057] In this embodiment, in step S3, the preoperative data information of the target patient includes the patient's name, age, BMI, hospitalization date, current medical history, past medical history, preoperative liver function indicators, preoperative preliminary diagnosis results, and calculation results of liver and lesion volumes; the three-dimensional model of the target patient includes the patient's liver twin three-dimensional model and the liver CT image three-dimensional model.

[0058] In this embodiment, in step S4, it also includes the following steps:

[0059] S4.1. Extracting the patient's corresponding preoperative data information and three-dimensional model information from step S3 according to a predetermined standard;

[0060] S4.2, displaying the corresponding lesion and the surrounding organ relationship of the predetermined three-dimensional model of the information extracted in step S4.1 in real time on a predetermined interface for viewing by a clinician according to a predetermined standard;

[0061] S4.3. Based on the predetermined standard, the predetermined position of the liver in the three-dimensional model in step S4.2 is changed through a predetermined gesture operation, so as to facilitate the clinician to adopt a predetermined measurement method according to the predetermined standard to quickly measure the size of the patient's liver lesion site according to the needs, and then obtain the liver lesion site size result data.

[0062] In this embodiment, in step S4.3, the predetermined measurement method is: the clinician arbitrarily rotates and transforms the predetermined position of the liver in the predetermined three-dimensional model on the predetermined interface, thereby adjusting the predetermined position of the liver to an appropriate position, and then directly uses a finger to draw a distance on the predetermined three-dimensional model, and the distance is the diameter of the lesion, that is, the diameter of the tumor can be obtained by measuring the distance between two points, thereby performing preprocessing based on the predetermined standard to obtain the two-dimensional coordinate value on the predetermined interface, and then using the predetermined three-dimensional picking algorithm to obtain the three-dimensional coordinates of the two points according to the predetermined standard, and the accurate distance between the two points on the surface of the lesion can be obtained by the following formula:

[0063]

[0064] Wherein, D is the real distance between the two points; (x1, y1, z1) (x2, y2, z2) are the three-dimensional coordinate values ​​of the two points obtained by a predetermined three-dimensional picking algorithm.

[0065] In this embodiment, in step S5, it also includes the following steps:

[0066] S5.1. In a predetermined Unity environment, based on the patient's predetermined liver information and the size of the liver lesion, a predetermined program module is used to construct a predetermined liver resection treatment simulation twin model according to predetermined standards to display the predetermined liver model of the target patient in real time;

[0067] S5.2. Use the predetermined Oculus Integration SDK to capture and track gesture recognition technology to perform movement and rotation operations on the predetermined liver model in step S5.1, so as to adjust the display interface of the predetermined liver model to an appropriate position, and then fully display the predetermined anatomical structure of the predetermined liver model, so as to facilitate real-time viewing by clinicians, and also enable clinicians to control the predetermined program through predetermined voice commands according to the display information to implement preoperative planning to assist clinicians in formulating personalized surgical plans.

[0068] In this embodiment, a personalized twin system for preoperative hepatectomy planning adopts the personalized twin method for preoperative hepatectomy planning, which includes a data acquisition module 2 connected to a hospital HIS system 1 for information interaction; and also includes a data analysis and processing module 3, an information integration module 4, a preoperative hepatectomy information twin module 5 and a virtual reality interaction module 6 which are sequentially connected and connected to the data acquisition module 2 to implement information interaction; wherein,

[0069] The data acquisition module 2 is used to collect the preoperative information of the target patient from the hospital HIS system 1 according to a predetermined standard, and to process the collected information according to a predetermined standard by using a predetermined three-dimensional reconstruction technology preset in the data acquisition module 2 to construct a predetermined patient liver twin three-dimensional model, and at the same time transmit the above data to the data analysis and processing module 3 for storage;

[0070] The data analysis and processing module 3 is used to automatically perform recognition processing on the corresponding lesions and small blood vessel information in the patient's liver twin three-dimensional model according to a predetermined standard and synchronously generate a liver CT image three-dimensional model, and at the same time, use a predetermined algorithm preset in the data analysis and processing module 3 to perform volume calculation processing on the corresponding liver and lesions in the liver CT image three-dimensional model according to a predetermined standard, thereby obtaining and storing the volume result data of the liver and lesions;

[0071] The information integration module 4 is used to integrate the target patient's preoperative data and the liver and lesion volume result data information on the first operation plane according to a predetermined standard, and to integrate the patient's liver twin 3D model and the liver CT image 3D model data information in the 3D model on the second operation plane, thereby realizing the classified integration of information for the convenience of clinicians to call;

[0072] The pre-hepatectomy information twin module 5 is used to extract the patient's liver information from the information integration module 4 according to a predetermined standard and display it on a predetermined interface for the clinician to view in real time and for the clinician to quickly measure the size of the patient's liver lesion according to the predetermined standard;

[0073] The virtual reality interaction module 6 is used to construct a predetermined liver resection treatment simulation twin model according to predetermined standards based on the patient's liver information and the size of the liver lesion site. The liver resection treatment simulation twin model can display the predetermined anatomical structure of the patient's liver to assist clinicians in preoperative planning of personalized surgical plans.

[0074] In this embodiment, the data analysis and processing module 3 includes an image data processing unit 31, a data analysis unit 32 and a database unit 33; wherein,

[0075] The image data processing unit 31 is used to automatically identify and process the corresponding lesions and small blood vessel information in the patient's liver twin three-dimensional model according to a predetermined standard and synchronously generate a liver CT image three-dimensional model and store it in the database unit 33;

[0076] The data analysis unit 32 is used to perform volume calculation processing on the corresponding liver and lesion in the three-dimensional model of liver CT image according to a predetermined standard and using a predetermined algorithm to obtain volume result data of the liver and lesion and store them in the database unit 33;

[0077] The database unit 33 is used to store and process the target patient's preoperative information, the liver CT image three-dimensional model, and the liver and lesion volume result data in the liver CT image three-dimensional model in a predetermined format according to a predetermined standard.

[0078] When this embodiment is used specifically, first, the preoperative information of the target patient is collected from the hospital HIS system 1 according to a predetermined standard by the data acquisition module 2, and the collected information is processed according to a predetermined standard by a predetermined three-dimensional reconstruction technology preset in the data acquisition module 2 to construct a predetermined patient liver twin three-dimensional model, and the above data is transmitted to the database unit 33 of the data analysis and processing module 3 for storage; secondly, the image data processing unit 31 of the data analysis and processing module 3 automatically performs recognition processing on the corresponding lesions and fine blood vessel information in the patient's liver twin three-dimensional model according to a predetermined standard and synchronously generates a liver CT image three-dimensional model and stores it in the database unit 33, then the data analysis unit 32 performs volume calculation processing on the corresponding liver and lesions in the liver CT image three-dimensional model according to a predetermined standard using a predetermined algorithm to obtain the volume result data of the liver and lesions and store them in the database unit 33, and the database unit 33 performs storage processing on the target patient's preoperative information, the liver CT image three-dimensional model, and the liver and lesion volume result data in the liver CT image three-dimensional model according to the predetermined standard in a predetermined format; then The information integration module 4 integrates the target patient's preoperative data and the volume result data information of the liver and lesions on a complete first operation surface according to predetermined standards, and integrates the patient's liver twin three-dimensional model and the liver CT image three-dimensional model data information in the three-dimensional model on another complete second operation surface, thereby realizing the classification and integration of information for the convenience of clinicians to call; then, the pre-liver resection information twin module 5 extracts the patient's liver information from the information integration module 4 according to predetermined standards and displays it on a predetermined interface for clinicians to view in real time and for clinicians to quickly measure the size of the patient's liver lesion according to predetermined standards; in the pre-liver resection information twin module 5, the liver position in the predetermined three-dimensional model is changed by predetermined gesture operations, so that clinicians can quickly measure the size of the patient's liver lesion according to predetermined standards and using predetermined measurement methods; finally, in a predetermined Unity environment, a liver resection treatment simulation twin model is constructed according to the patient's liver information and the measured liver lesion size according to predetermined standards through the virtual reality interaction module 6 to display the liver model of the target patient; and then a predetermined Oculus 3D image processing module is used to generate a virtual reality interactive module 6 ... IntegrationSDK captures and tracks gesture recognition technology to perform movement and rotation operations on the liver model to fully display the predetermined anatomical structure of the liver model for clinicians to view. The clinicians operate the virtual reality interaction module 6 through predetermined voice commands to perform preoperative planning, thereby assisting clinicians in preoperative planning of personalized surgical plans.

[0079] In summary, the present invention adopts the above-mentioned method and system, which has the advantage of being able to integrate preoperative patient information to construct a liver resection treatment simulation twin model to assist clinicians in preoperative planning of personalized surgical plans.

[0080] For those skilled in the art, various other corresponding changes and deformations can be made according to the technical solutions and concepts described above, and all of these changes and deformations should fall within the protection scope of the claims of the present invention.

Claims

1. A personalized twinning method for preoperative planning of liver resection, characterized in that; The method comprises the following steps: S1. Collecting the preoperative information of the target patient according to a predetermined standard, processing the collected information according to a predetermined standard by a predetermined three-dimensional reconstruction technology to construct a predetermined patient liver twin three-dimensional model, and storing and processing the above data; S2, automatically identifying the corresponding lesions and small blood vessels in the patient's liver twin three-dimensional model in step S1 according to a predetermined standard and synchronously generating a liver CT image three-dimensional model, and then performing volume calculation processing on the corresponding liver and lesions in the liver CT image three-dimensional model according to a predetermined standard using a predetermined algorithm, thereby obtaining and storing the volume result data of the liver and lesions; S3, integrating the target patient's preoperative data information on a first operation surface according to a predetermined standard, and integrating the corresponding three-dimensional model data information on a second operation surface, thereby realizing classified integration of information for easy access by clinicians; S4, extracting the patient's liver information from step S3 according to a predetermined standard and displaying it on a predetermined interface for the clinician to view in real time and for the clinician to measure the size of the patient's liver lesion according to the predetermined standard; S5. Based on the patient's liver information and the size of the liver lesion in step S4, a predetermined liver resection treatment simulation twin model is constructed according to predetermined standards. The liver resection treatment simulation twin model can display the predetermined anatomical structure of the patient's liver to assist clinicians in preoperative planning of personalized surgical plans.

2. The personalized twinning method for preoperative planning of liver resection according to claim 1, characterized in that; In step S1, the patient's liver twin three-dimensional model includes the liver, the bile duct of the intrahepatic vessels, the portal vein, the hepatic artery and the hepatic vein, and the tissue information related to the lesion area.

3. The personalized twinning method for preoperative planning of liver resection according to claim 1, characterized in that; In step S2, the predetermined algorithm used is the DTA algorithm, and its formula is: volume=k x ∑ i (x i n xi Δa i )+k y ∑ i (y i n yi Δa i )+k i ∑ i (z i n zi Δa i ) (1) Among them, x, y, z are coordinate coefficients; k x , k y , and k z The coefficient that sums to 1; Δa i is the calculus surface, x i ,y i 、z i are vector components, Δx, Δy, Δz are voxel dimensions, and n zi 、n yi 、n xi It is a unit vector component. Assuming Δx=Δy=Δz, the calculus surface area is reduced to the normal component of the reciprocal of the maximum unit absolute value, and volume represents the volume.

4. The personalized twinning method for preoperative planning of liver resection according to claim 1, characterized in that; In step S3, the target patient's preoperative data information includes the patient's name, age, BMI, hospitalization date, current medical history, past medical history, preoperative liver function indicators, preoperative preliminary diagnosis results, and liver and lesion volume calculation results diagnostic data; the target patient's three-dimensional model includes the patient's liver twin three-dimensional model and the liver CT image three-dimensional model.

5. The personalized twinning method for preoperative planning of liver resection according to claim 4, characterized in that; In step S4, it also includes the following steps: S4.

1. Extracting the patient's corresponding preoperative data information and three-dimensional model information from step S3 according to a predetermined standard; S4.2, displaying the corresponding lesion and the surrounding organ relationship of the predetermined three-dimensional model of the information extracted in step S4.1 in real time on a predetermined interface for viewing by a clinician according to a predetermined standard; S4.

3. Based on the predetermined standard, the predetermined position of the liver in the three-dimensional model in step S4.2 is changed through a predetermined gesture operation, so as to facilitate the clinician to adopt a predetermined measurement method according to the predetermined standard to quickly measure the size of the patient's liver lesion site according to the needs, and then obtain the liver lesion site size result data.

6. The personalized twinning method for preoperative planning of liver resection according to claim 5, characterized in that; In step S4.3, the predetermined measurement method is: the clinician arbitrarily rotates and transforms the predetermined position of the liver in the predetermined three-dimensional model on the predetermined interface, thereby adjusting the predetermined position of the liver to an appropriate position, and then directly uses a finger to draw a distance on the predetermined three-dimensional model, and the distance is the diameter of the lesion, that is, the diameter of the tumor can be obtained by measuring the distance between two points, thereby performing preprocessing based on the predetermined standard to obtain the two-dimensional coordinate value on the predetermined interface, and then using the predetermined three-dimensional picking algorithm to obtain the three-dimensional coordinates of the two points according to the predetermined standard, and the accurate distance between the two points on the surface of the lesion can be obtained by the following formula: Wherein, D is the real distance between the two points; (x1, y1, z1) (x2, y2, z2) are the three-dimensional coordinate values ​​of the two points obtained by a predetermined three-dimensional picking algorithm.

7. The personalized twinning method for preoperative liver resection planning according to claim 1, characterized in that ; In step S5, it also includes the following steps: S5.

1. In a predetermined Unity environment, based on the patient's predetermined liver information and the size of the liver lesion, a predetermined program module is used to construct a predetermined liver resection treatment simulation twin model according to predetermined standards to display the predetermined liver model of the target patient in real time; S5.

2. Use the predetermined Oculus Integration SDK to capture and track gesture recognition technology to perform movement and rotation operations on the predetermined liver model in step S5.1, so as to adjust the display interface of the predetermined liver model to an appropriate position, and then fully display the predetermined anatomical structure of the predetermined liver model, so as to facilitate real-time viewing by clinicians, and also enable clinicians to control the predetermined program through predetermined voice commands according to the display information to implement preoperative planning to assist clinicians in formulating personalized surgical plans.

8. A personalized twin system for preoperative planning of liver resection using the twin method for personalized preoperative planning of liver resection according to claim 1, comprising a data acquisition module (2) connected to a hospital HIS system (1) for information exchange; characterized in that: It also includes a data analysis and processing module (3), an information integration module (4), a pre-hepatectomy information twin module (5) and a virtual reality interaction module (6) which are sequentially connected and coupled to the data acquisition module (2) to implement information interaction; wherein, The data acquisition module (2) is used to collect the preoperative information of the target patient from the hospital HIS system (1) according to a predetermined standard, and to perform data processing on the collected information according to the predetermined standard by using a predetermined three-dimensional reconstruction technology preset in the data acquisition module (2) to construct a predetermined patient liver twin three-dimensional model, and at the same time transmit the above data to the data analysis and processing module (3) for storage; The data analysis and processing module (3) is used to automatically perform recognition processing on the corresponding lesions and small blood vessel information in the patient's liver twin three-dimensional model according to a predetermined standard and synchronously generate a liver CT image three-dimensional model, and at the same time, use a predetermined algorithm preset in the data analysis and processing module (3) to perform volume calculation processing on the corresponding liver and lesions in the liver CT image three-dimensional model according to a predetermined standard, thereby obtaining and storing the volume result data of the liver and lesions; The information integration module (4) is used to integrate the target patient's preoperative data and the liver and lesion volume result data information on the first operation plane according to a predetermined standard, and to integrate the patient's liver twin three-dimensional model and the liver CT image three-dimensional model data information in the three-dimensional model on the second operation plane, thereby realizing the classified integration of information for the convenience of clinicians to call; The pre-hepatectomy information twin module (5) is used to extract the patient's liver information from the information integration module (4) according to a predetermined standard and display it on a predetermined interface for the clinician to view in real time and for the clinician to quickly measure the size of the patient's liver lesion according to the predetermined standard; The virtual reality interaction module (6) is used to construct a predetermined liver resection treatment simulation twin model according to predetermined standards based on the patient's liver information and the size of the liver lesion site. The liver resection treatment simulation twin model can display the predetermined anatomical structure of the patient's liver to assist clinicians in preoperative planning of personalized surgical plans.

9. The personalized twin system for preoperative liver resection planning according to claim 8, characterized in that: The data analysis and processing module (3) comprises an image data processing unit (31), a data analysis unit (32) and a database unit (33); wherein: The image data processing unit (31) is used to automatically perform recognition processing on the corresponding lesions and small blood vessel information in the patient's liver twin three-dimensional model according to a predetermined standard and synchronously generate a liver CT image three-dimensional model and store it in the database unit (33); The data analysis unit (32) is used to perform volume calculation processing on the corresponding liver and lesion in the three-dimensional model of liver CT images according to a predetermined standard and using a predetermined algorithm to obtain volume result data of the liver and lesion and store them in the database unit (33); The database unit (33) is used to store and process the target patient's preoperative information, the liver CT image three-dimensional model, and the liver and lesion volume result data in the liver CT image three-dimensional model in a predetermined format according to a predetermined standard.

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