Method and device for acquiring temperature field of tumor thermal ablation operation

Abstract

The application relates to the technical field of tumor hyperthermia, in particular to a temperature field acquisition method and device for tumor thermal ablation surgery, wherein the method comprises the following steps: segmenting a three-dimensional tumor model from a three-dimensional magnetic resonance image in a target liver; calculating the centroid position of the three-dimensional tumor according to the three-dimensional tumor, and solving the ellipsoid parameters of the three-dimensional tumor; querying a preset database by using the ellipsoid parameters to obtain the closest ellipsoid data, and acquiring the current temperature field distribution from the closest ellipsoid data. Therefore, the problems in the prior art that the finite element calculation is huge in amount, time-consuming, and the temperature field cannot be acquired and monitored in real time, the accuracy and real-time performance of the surgery are reduced, and the requirements of the tumor thermal ablation surgery cannot be met are solved.

Description

Technical Field

[0001] This application relates to the field of tumor hyperthermia technology, and in particular to a method and apparatus for obtaining the temperature field in tumor thermal ablation surgery. Background Technology

[0002] In related technologies, a Kalman filter is used to combine predicted and measured values ​​based on noise analysis. A biological heat transfer model is used as the predicted value, and a magnetic resonance thermometry method is used as the measured value. The predicted and measured values ​​are linearly combined using a weighted matrix with the minimum mean square error to obtain a denoised image and suppress artifacts caused by phase disorder. In the two-dimensional case, the temperature field can be solved in real time and accurately.

[0003] However, the finite element method involves a large amount of computation, is time-consuming, and cannot acquire and monitor the temperature field in real time, which reduces the accuracy and real-time performance of the surgery and fails to meet the needs of tumor thermal ablation surgery, thus requiring urgent solutions. Summary of the Invention

[0004] This application is based on the inventor's understanding and insights into the following issues:

[0005] Cancer is one of the world's deadliest diseases. Over the past few decades, there have been groundbreaking advancements in interventional treatments for this malignant tumor. Current mainstream interventional treatments include RFA (Radio-frequency ablation), MWA (Microwave ablation), HIFU (High Intensity Focused Ultrasound), LITT (Laser-induced thermotherapy), and CSA (Cryosurgical ablation). Compared to traditional chemotherapy and radiotherapy, these methods have fewer side effects and less damage to the human body. In addition, numerous experiments have demonstrated that interventional minimally invasive surgery also has the advantages of precise target localization, minimal trauma, and fewer complications.

[0006] Among these treatments, microwave ablation (MWA) is a popular method for treating liver tumors. In some cases, MWA outperforms radiofrequency ablation (RFA) due to its higher ablation rate, wider power density field, longer ablation diameter, lower heat sink effect, and shorter operation time. RFA, on the other hand, is affected by the insulators generated by boiling and carbonization within the tissue. Water molecules are dipoles with uneven overall charge distribution. When microwaves with a frequency greater than 900 MHz act on water molecules, they cause violent movement and generate heat, thus achieving the purpose of heating and ablating the diseased tissue using MWA. As the microwave ablation needle heats up, when the tissue near the microwave probe reaches 50°C, it only takes a few minutes to induce apoptosis of the diseased tissue cells. At temperatures above 60°C, this process is almost instantaneous. Usually, the power and time settings for this process can be determined by the doctor.

[0007] However, during actual surgery, there are many important tissues and blood vessels around the liver. The high temperature generated by the MWA procedure may damage these important tissues and organs. Therefore, interventional surgery places high demands on the precision of the ablation area. Only by controlling the ablation range can cancer cells be safely and quickly inactivated. However, traditional methods currently find it difficult to solve the temperature field in real time and accurately.

[0008] Therefore, some studies have used Kalman filtering to synergistically improve the results of finite element method calculation and magnetic resonance temperature measurement. Kalman filter can combine predicted and measured values ​​based on noise analysis. It can use biological heat transfer model as predicted value and magnetic resonance temperature measurement method as measured value. It uses a weighted matrix with the minimum mean square error to linearly combine predicted and measured values ​​to obtain a denoised image. It can suppress the artifact problem caused by phase disorder in imaging temperature measurement technology. However, finite element calculation will greatly increase the amount of computation, and in three-dimensional case, it is difficult to obtain and monitor the temperature field in real time.

[0009] This application provides a method and apparatus for obtaining the temperature field in tumor thermal ablation surgery, in order to solve the problems in related technologies, such as the large amount of finite element calculation, long time consumption, and inability to obtain and monitor the temperature field in real time, which reduces the accuracy and real-time performance of the surgery and fails to meet the needs of tumor thermal ablation surgery.

[0010] The first aspect of this application provides a method for obtaining the temperature field during tumor thermal ablation surgery, comprising the following steps: segmenting a three-dimensional tumor model from a three-dimensional magnetic resonance image of a target liver; calculating the centroid position of the three-dimensional tumor based on the three-dimensional tumor, and solving for the ellipsoidal parameters of the three-dimensional tumor; querying a preset database using the ellipsoidal parameters to obtain the most approximate ellipsoidal data, and obtaining the current temperature field distribution from the most approximate ellipsoidal data.

[0011] Optionally, in one embodiment of this application, solving for the ellipsoidal parameters of the three-dimensional tumor includes: fitting the three-dimensional tumor to an ellipsoid with 9 parameters in a preset space using the least squares method to obtain the ellipsoidal parameters of the three-dimensional tumor.

[0012] Optionally, in one embodiment of this application, the step of fitting the three-dimensional tumor to a 9-parameter ellipsoid in a preset space using the least squares method to obtain the ellipsoid parameters of the three-dimensional tumor includes: setting an expression for the ellipsoid based on the preset ellipsoid orientation angle and the lengths of the three axes; and solving for the ellipsoid parameters using the least squares method based on the expression for the ellipsoid and the spatial scattered points extracted from the tumor.

[0013] Optionally, in one embodiment of this application, before querying the preset database using the ellipsoid parameters, the method further includes: pre-storing a preset database of ellipsoid parameters and corresponding three-dimensional temperature changes over time, and matching the most approximate ellipsoid data according to the preset database.

[0014] A second aspect of this application provides a temperature field acquisition device for tumor thermal ablation surgery, comprising: a segmentation module for segmenting a three-dimensional tumor model from a three-dimensional magnetic resonance image of a target liver; a calculation module for calculating the centroid position of the three-dimensional tumor based on the three-dimensional tumor and solving for the ellipsoidal parameters of the three-dimensional tumor; and an acquisition module for querying a preset database using the ellipsoidal parameters to obtain the most approximate ellipsoidal data, and obtaining the current temperature field distribution from the most approximate ellipsoidal data.

[0015] Optionally, in one embodiment of this application, the calculation module includes: a calculation unit, used to fit the three-dimensional tumor into a 9-parameter ellipsoid in a preset space using the least squares method, to obtain the ellipsoid parameters of the three-dimensional tumor.

[0016] Optionally, in one embodiment of this application, the calculation unit is further configured to set an expression for the ellipsoid based on a preset ellipsoid orientation angle and the lengths of the three axes, and to solve for the ellipsoid parameters using the least squares method based on the expression for the ellipsoid and the spatial scatter points extracted from the tumor.

[0017] Optionally, in one embodiment of this application, the apparatus of this embodiment further includes: a matching module, configured to pre-store a preset database of ellipsoid parameters and corresponding three-dimensional temperature changes over time before querying the preset database using the ellipsoid parameters, and match the most approximate ellipsoid data according to the preset database.

[0018] A third aspect of this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the temperature field acquisition method for tumor thermal ablation surgery as described in the above embodiments.

[0019] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the temperature field acquisition method for tumor thermal ablation surgery as described above.

[0020] This application's embodiments can segment a three-dimensional tumor model from a three-dimensional magnetic resonance image of the target liver, calculate the centroid position of the three-dimensional tumor, solve for the ellipsoidal parameters of the three-dimensional tumor, and then use the ellipsoidal parameters to query a database to obtain the most approximate ellipsoidal data. The current temperature field distribution is then obtained from the most approximate ellipsoidal data, thereby reducing the computational load of the finite element method and saving computation time. It allows for real-time acquisition and monitoring of the temperature field, improving the real-time performance and accuracy of the surgery, and effectively meeting the needs of tumor thermal ablation surgery. Therefore, it solves the problems in related technologies where the finite element method involves large computational loads, long computation times, and the inability to acquire and monitor the temperature field in real time, thus reducing the accuracy and real-time performance of the surgery and failing to meet the needs of tumor thermal ablation surgery.

[0021] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0022] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0023] Figure 1 This is a flowchart of a method for obtaining the temperature field in a tumor thermal ablation surgery according to an embodiment of this application;

[0024] Figure 2 This is a schematic diagram of the temperature field acquisition device for tumor thermal ablation surgery according to an embodiment of this application;

[0025] Figure 3 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of this application. Detailed Implementation

[0026] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0027] The following description, with reference to the accompanying drawings, describes a method and apparatus for acquiring the temperature field in tumor thermal ablation surgery according to embodiments of this application. Addressing the problems mentioned in the background section regarding the large computational load and long processing time of finite element methods, and the inability to acquire and monitor the temperature field in real time, which reduces the accuracy and real-time performance of the surgery and fails to meet the requirements of tumor thermal ablation surgery, this application provides a method for acquiring the temperature field in tumor thermal ablation surgery. In this method, a three-dimensional tumor model can be segmented from a three-dimensional magnetic resonance image of the target liver, and the centroid position of the three-dimensional tumor can be calculated. The ellipsoidal parameters of the three-dimensional tumor can be solved, and the ellipsoidal parameters can be used to query a database to obtain the most approximate ellipsoidal data. The current temperature field distribution can then be obtained from the most approximate ellipsoidal data, thereby reducing the computational load of finite element methods, saving computation time, and enabling real-time acquisition and monitoring of the temperature field. This improves the real-time performance and accuracy of the surgery and effectively meets the requirements of tumor thermal ablation surgery. Therefore, this method solves the problems in related technologies where the large computational load and long processing time of finite element methods, and the inability to acquire and monitor the temperature field in real time, reduce the accuracy and real-time performance of the surgery and fail to meet the requirements of tumor thermal ablation surgery.

[0028] Specifically, Figure 1 This is a schematic flowchart illustrating a method for obtaining the temperature field in a tumor thermal ablation surgery, as provided in an embodiment of this application.

[0029] like Figure 1 As shown, the method for obtaining the temperature field in this tumor thermal ablation surgery includes the following steps:

[0030] In step S101, a three-dimensional tumor model is segmented from the three-dimensional magnetic resonance image of the target liver.

[0031] It is understood that the embodiments of this application can segment a three-dimensional tumor model from a three-dimensional magnetic resonance image of the target liver, for example, the target liver can be a human liver, thereby ensuring that the ellipsoidal parameters of the three-dimensional tumor can be solved by the centroid position in the following steps, thereby improving the feasibility of real-time acquisition and monitoring of the temperature field and meeting the needs of tumor thermal ablation surgery.

[0032] In step S102, the centroid position of the three-dimensional tumor is calculated based on the three-dimensional tumor, and the ellipsoid parameters of the three-dimensional tumor are solved.

[0033] It is understood that the embodiments of this application can calculate the centroid position of a three-dimensional tumor based on the three-dimensional tumor. For example, the centroid position (x0, y0, z0) of the three-dimensional tumor segmented from the actual tumor image is first calculated, and the ellipsoid parameters of the three-dimensional tumor in the following steps are solved, thereby improving the feasibility of real-time temperature monitoring during surgery and improving the accuracy of data monitoring.

[0034] In one embodiment of this application, solving for the ellipsoidal parameters of a three-dimensional tumor includes: fitting the three-dimensional tumor to an ellipsoid with 9 parameters in a preset space using the least squares method to obtain the ellipsoidal parameters of the three-dimensional tumor.

[0035] In actual implementation, the embodiments of this application can establish a database after calculating a large number of different spatial combinations of tumors and microwave thermal ablation needles, and use the least squares method to fit the three-dimensional tumor into a 9-parameter ellipsoid in a certain space, and obtain the ellipsoid parameters of the three-dimensional tumor. Thus, the spatial parameters of the ellipsoid can replace all tumor distributions, effectively improving the accuracy and safety of the surgery.

[0036] In microwave ablation surgery, tumors are generally small in diameter and some tumors have relatively regular and smooth edges. Therefore, it is reasonable to use ellipsoid fitting. In general, any three-dimensional ellipsoid whose principal axis is not parallel to the coordinate axis can be calculated using 9 parameters.

[0037] For example, in this embodiment of the application, a three-dimensional tumor can be fitted into a 9-parameter ellipsoid in a certain space using the least squares method, as shown in the following specific expression:

[0038] Ax 2 +By 2 +Cz 2 +Dx+Ey+Fz+Gxy+Hxz+Iyz=1

[0039] Where A, B, C, D, E, F, G, H, and I are the parameters of the ellipsoid.

[0040] It should be noted that the preset space is set by those skilled in the art according to the actual situation, and no specific limitation is made here.

[0041] In one embodiment of this application, the least squares method is used to fit a three-dimensional tumor into an ellipsoid with 9 parameters in a preset space to obtain the ellipsoid parameters of the three-dimensional tumor. This includes: setting the expression of the ellipsoid based on the preset ellipsoid orientation angle and the length of the three axes; and solving the ellipsoid parameters using the least squares method based on the expression of the ellipsoid and the spatial scattered points extracted from the tumor.

[0042] For example, in this embodiment of the application, the expression for the ellipsoid can be defined based on the orientation angle and the lengths of the three axes as follows:

[0043] Ax 2 +By 2 +Cz 2 +Dx+Ey+Fz+Gxy+Hxz+Iyz=1

[0044] The orientation angle and the lengths of the three axes of the ellipsoid can be calculated from the nine parameters in the ellipsoid expression.

[0045] For example, in embodiments of this application, the ellipsoid parameters can be solved using the least squares method based on the expression for the ellipsoid and the spatial scatter points extracted from the tumor. The specific expression is as follows:

[0046] P T =[A,B,C,D,E,F,G,H,I]

[0047] Q = [x] 2 ,y 2 ,z 2 ,x,y,z,xy,xz,yz]

[0048] P = (Q) T Q) -1 Q T

[0049] Among them, P T Let Q be the transpose of the tumor parameter matrix, Q be a matrix composed of values ​​related to tumor coordinates, and P be the tumor parameter matrix. T This is the transpose of a matrix composed of values ​​related to tumor coordinates.

[0050] In step S103, the ellipsoid parameters are used to query a preset database to obtain the most approximate ellipsoid data, and the current temperature field distribution is obtained from the most approximate ellipsoid data.

[0051] In actual implementation, the embodiments of this application can obtain the most approximate ellipsoid data by querying the database using ellipsoid parameters in the following steps, and obtain the current temperature field distribution from the most approximate ellipsoid data. This effectively reduces the calculation process, saves time, and reduces the temperature field acquisition time to the millisecond level, thereby improving the efficiency of temperature field acquisition in microwave thermal ablation surgery. It also improves the real-time performance of temperature field acquisition and monitoring, and enhances the reliability and safety of microwave thermal ablation surgery.

[0052] It should be noted that the preset database is set by those skilled in the art according to the actual situation, and no specific limitations are made here.

[0053] Optionally, in one embodiment of this application, before querying the preset database using ellipsoid parameters, the method further includes: pre-storing a preset database of ellipsoid parameters and corresponding three-dimensional temperature changes over time, and matching the most approximate ellipsoid data according to the preset database.

[0054] In some embodiments, the embodiments of this application can pre-store a database of ellipsoidal parameters and corresponding three-dimensional temperature changes over time. For example, a large number of tumor spatial parameters and the relative positions of ablation needles can be traversed to calculate and establish a temperature field database corresponding to different parameters. Thus, the most approximate ellipsoidal data can be matched according to the temperature field database of different parameters, and real-time matching can be performed during surgery. This effectively improves the efficiency of temperature field acquisition in microwave thermal ablation surgery and enables real-time acquisition of the temperature field for temperature monitoring during microwave thermal ablation surgery.

[0055] Furthermore, apart from establishing a database, obtaining the temperature field during surgery requires almost no additional space overhead. In the two-dimensional case, the temperature field distribution map calculated by the ablation needle on the original tumor and the temperature field distribution map calculated on the matched ellipsoid have a DICE value of more than 90% in most cases.

[0056] The temperature field acquisition method for tumor thermal ablation surgery proposed in this application can segment a three-dimensional tumor model from a three-dimensional magnetic resonance image of the target liver, calculate the centroid position of the three-dimensional tumor, solve for the ellipsoidal parameters of the three-dimensional tumor, and then use the ellipsoidal parameters to query a database to obtain the most approximate ellipsoidal data. The current temperature field distribution is then obtained from the most approximate ellipsoidal data, thereby reducing the computational load of finite element analysis (FEM) and saving computation time. It allows for real-time acquisition and monitoring of the temperature field, improving the real-time performance and accuracy of the surgery, and effectively meeting the needs of tumor thermal ablation surgery. This solves the problems in related technologies where the finite element method involves large computational loads, long computation times, and the inability to acquire and monitor the temperature field in real time, thus reducing the accuracy and real-time performance of the surgery and failing to meet the needs of tumor thermal ablation surgery.

[0057] Next, the temperature field acquisition device for tumor thermal ablation surgery according to the embodiments of this application is described with reference to the accompanying drawings.

[0058] Figure 2 This is a block diagram of the temperature field acquisition device for tumor thermal ablation surgery according to an embodiment of this application.

[0059] like Figure 2 As shown, the temperature field acquisition device 10 for tumor thermal ablation surgery includes: a segmentation module 100, a calculation module 200, and an acquisition module 300.

[0060] Specifically, the segmentation module 100 is used to segment a stereotactic tumor model from a three-dimensional magnetic resonance image of the target liver.

[0061] The calculation module 200 is used to calculate the centroid position of the three-dimensional tumor and solve for the ellipsoid parameters of the three-dimensional tumor.

[0062] The acquisition module 300 is used to query a preset database using ellipsoidal parameters to obtain the most approximate ellipsoidal data, and then obtain the current temperature field distribution from the most approximate ellipsoidal data.

[0063] Optionally, in one embodiment of this application, the computing module 200 includes a computing unit.

[0064] The calculation unit is used to fit the three-dimensional tumor into a 9-parameter ellipsoid in a preset space using the least squares method, thereby obtaining the ellipsoid parameters of the three-dimensional tumor.

[0065] Optionally, in one embodiment of this application, the calculation unit is further configured to set an expression for the ellipsoid based on the preset orientation angle and the lengths of the three axes, and to solve for the ellipsoid parameters using the least squares method based on the expression for the ellipsoid and the spatial scatter points extracted from the tumor.

[0066] Optionally, in one embodiment of this application, the apparatus 10 of this application embodiment further includes a matching module.

[0067] The matching module is used to pre-store the ellipsoid parameters and the corresponding three-dimensional temperature changes over time in a preset database before querying the preset database using the ellipsoid parameters, and to match the closest ellipsoid data according to the preset database.

[0068] It should be noted that the explanation of the above-described embodiment of the temperature field acquisition method for tumor thermal ablation surgery also applies to the temperature field acquisition device for tumor thermal ablation surgery in this embodiment, and will not be repeated here.

[0069] The temperature field acquisition device for tumor thermal ablation surgery proposed in this application can segment a three-dimensional tumor model from a three-dimensional magnetic resonance image of the target liver, calculate the centroid position of the three-dimensional tumor, solve for the ellipsoidal parameters of the three-dimensional tumor, and then use the ellipsoidal parameters to query a database to obtain the most approximate ellipsoidal data. The current temperature field distribution is then obtained from the most approximate ellipsoidal data, thereby reducing the computational load of finite element analysis and saving computation time. It allows for real-time acquisition and monitoring of the temperature field, improving the real-time performance and accuracy of the surgery, and effectively meeting the needs of tumor thermal ablation surgery. This solves the problems in related technologies where the finite element method involves large computational loads, long computation times, and the inability to acquire and monitor the temperature field in real time, thus reducing the accuracy and real-time performance of the surgery and failing to meet the needs of tumor thermal ablation surgery.

[0070] Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include:

[0071] The memory 301, the processor 302, and the computer program stored on the memory 301 and capable of running on the processor 302.

[0072] When the processor 302 executes the program, it implements the method for obtaining the temperature field of tumor thermal ablation surgery provided in the above embodiments.

[0073] Furthermore, electronic devices also include:

[0074] Communication interface 303 is used for communication between memory 301 and processor 302.

[0075] The memory 301 is used to store computer programs that can run on the processor 302.

[0076] The memory 301 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0077] If the memory 301, processor 302, and communication interface 303 are implemented independently, then the communication interface 303, memory 301, and processor 302 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 3 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0078] Optionally, in a specific implementation, if the memory 301, processor 302, and communication interface 303 are integrated on a single chip, then the memory 301, processor 302, and communication interface 303 can communicate with each other through an internal interface.

[0079] Processor 302 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0080] This embodiment also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for obtaining the temperature field of tumor thermal ablation surgery.

[0081] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0082] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0083] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0084] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0085] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0086] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0087] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0088] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for obtaining the temperature field in a tumor thermal ablation surgery, characterized in that, Includes the following steps: Segmenting a stereotactic tumor model from three-dimensional magnetic resonance images of the target liver; The centroid position of the three-dimensional tumor is calculated based on the three-dimensional tumor, and the ellipsoid parameters of the three-dimensional tumor are solved. Solving the ellipsoid parameters of the three-dimensional tumor includes: fitting the three-dimensional tumor into a 9-parameter ellipsoid in a preset space using the least squares method to obtain the ellipsoid parameters of the three-dimensional tumor. A pre-stored database of ellipsoidal parameters and corresponding three-dimensional temperature variations over time is used to match the closest ellipsoidal data based on the pre-stored database; and The ellipsoid parameters are used to query a preset database to obtain the most approximate ellipsoid data, and the current temperature field distribution is obtained from the most approximate ellipsoid data.

2. The method according to claim 1, characterized in that, The step of fitting the three-dimensional tumor to a 9-parameter ellipsoid in a preset space using the least squares method to obtain the ellipsoid parameters of the three-dimensional tumor includes: The expression for the ellipsoid is set based on the preset ellipsoid orientation angle and the lengths of the three axes; The ellipsoid parameters are solved using the least squares method based on the expression of the ellipsoid and the spatial scatter points extracted from the tumor.

3. A temperature field acquisition device for tumor thermal ablation surgery, characterized in that, include: A segmentation module is used to segment a stereotactic tumor model from a three-dimensional magnetic resonance image of a target liver. The calculation module is used to calculate the centroid position of the three-dimensional tumor based on the three-dimensional tumor and solve the ellipsoid parameters of the three-dimensional tumor. Solving the ellipsoid parameters of the three-dimensional tumor includes: fitting the three-dimensional tumor to a 9-parameter ellipsoid in a preset space using the least squares method to obtain the ellipsoid parameters of the three-dimensional tumor. The configuration module is used to pre-store a database of ellipsoidal parameters and corresponding three-dimensional temperature variations over time, and to match the closest ellipsoidal data based on the database; and The acquisition module is used to query a preset database using the ellipsoid parameters to obtain the most approximate ellipsoid data, and to obtain the current temperature field distribution from the most approximate ellipsoid data.

4. The apparatus according to claim 3, characterized in that, The calculation module is further used to set the expression of the ellipsoid based on the preset ellipsoid orientation angle and the length of the three axes, and to solve the ellipsoid parameters using the least squares method based on the expression of the ellipsoid and the spatial scattered points extracted from the tumor.

5. An electronic device, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the program to implement the method for obtaining the temperature field of tumor thermal ablation surgery as described in any one of claims 1-2.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the method for obtaining the temperature field of tumor thermal ablation surgery as described in any one of claims 1-2.

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