Magnetic resonance assisted ablation therapy method and apparatus

Abstract

The application discloses a kind of based on magnetic resonance auxiliary ablation treatment method and device, method includes: detecting the current operation process of tumor ablation operation;When detecting preoperative simulation, scan image is obtained based on three-dimensional magnetic resonance scanning, and organ region and tumor region are segmented, to assist in generating optimal probe strategy;When detecting intraoperative navigation, real-time magnetic resonance scanning is carried out in the process of probe insertion, current magnetic resonance image is obtained, and probe tip, probe angle and tumor coordinates are identified, to assist probe to reach tumor;When detecting intraoperative thermometry, magnetic resonance sequence scanning is carried out in the process of probe ablation, multiple echo magnetic resonance image is obtained, and current temperature distribution and thermal ablation range are displayed in real time until tumor is completely inactivated.

Description

Technical Field

[0001] This application relates to the field of tumor hyperthermia technology, and in particular to a magnetic resonance-assisted ablation treatment method and device. Background Technology

[0002] In related technologies, the main approach is to heat the tumor area to 43°C to 50°C, taking advantage of the tumor's sensitivity to temperature changes. Within this temperature range, normal human cells and tissues will not be damaged, but the tumor cells become more sensitive to drugs and radiation, or are induced to undergo apoptosis, ultimately killing the tumor cells and protecting normal tissues.

[0003] However, the relevant technologies can only heat the tumor area to 43°C to 50°C, resulting in a low heating temperature range. This reduces the tumor inactivation rate and efficiency, while increasing the postoperative recurrence rate, which in turn reduces the success rate and applicability of the surgery. This issue urgently needs to be addressed. Summary of the Invention

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

[0005] Depending on the temperature range during treatment, tumor hyperthermia surgery is divided into cryogenic hyperthermia and tumor ablation. Cryogenic hyperthermia primarily utilizes the tumor's sensitivity to temperature changes, heating the tumor area to 43°C to 50°C. Within this temperature range, normal human cells and tissues are not damaged, but tumor cells become more sensitive to drugs and radiation, or are induced to undergo apoptosis, ultimately killing tumor cells and protecting normal tissue. Tumor ablation methods reach temperatures of 50°C to 60°C, or even higher, directly causing tumor cells to die, become inactivated, and coagulate, ultimately eliminating tumor cells more thoroughly. Compared to cryogenic hyperthermia, tumor ablation has a higher temperature range, resulting in a higher tumor inactivation rate and efficiency, a higher surgical success rate, and a lower recurrence rate. It has promising prospects and is favored by doctors.

[0006] The biggest reason why tumor ablation surgery is not widely used is the lack of an integrated platform for intuitive real-time monitoring of surgical progress and heat usage, as well as the absence of precise positioning methods and preoperative assessment procedures. While relatively mature image tracking algorithms, organ segmentation algorithms, bio-heat transfer models, and magnetic resonance thermometry algorithms exist, along with rapid, harmless methods for acquiring medical images, most remain independent and exist only in the scientific research stage. To promote the widespread adoption of tumor ablation surgery, a complete surgical platform needs to provide safety guarantees in multiple aspects, including preoperative assessment, intraoperative navigation, and intraoperative temperature measurement. This platform should fully leverage the minimally invasive and rapid recovery characteristics of tumor ablation surgery while addressing the current issues of high recurrence rates and limited application scope.

[0007] Compared to other medical imaging technologies, magnetic resonance imaging (MRI) technology is an ideal method for preoperative assessment and intraoperative monitoring of thermal ablation surgery due to its advantages such as safety, non-invasiveness, high spatial resolution, high sensitivity, and multi-angle imaging. If surgical assistance methods based on MRI systems (including MRI technologies such as rapid scanning and temperature imaging, and image post-processing methods such as image segmentation and target tracking) can be unified on a single platform, it will bring great convenience and assistance to ablation surgery and improve the success rate of minimally invasive surgery.

[0008] This application provides a magnetic resonance-assisted ablation treatment method and device to solve the problems in related technologies that can only heat the tumor area to 43°C to 50°C, resulting in a low heating temperature range, which reduces the tumor inactivation rate and efficiency, increases the postoperative recurrence rate, and consequently reduces the success rate and applicability of the surgery.

[0009] The first aspect of this application provides a magnetic resonance-assisted ablation therapy method, comprising the following steps: detecting the current surgical progress of a tumor ablation procedure; when the current surgical progress is detected as preoperative simulation, obtaining a scan image based on three-dimensional magnetic resonance scanning, and segmenting the organ region and tumor region according to the scan image to assist in generating an optimal probe strategy; when the current surgical progress is detected as intraoperative navigation, performing real-time magnetic resonance scanning during probe insertion to obtain a current magnetic resonance image, and marking the probe tip, probe angle, and tumor coordinates in the current magnetic resonance image to assist the probe in reaching the tumor; when the current surgical progress is detected as intraoperative temperature measurement, performing magnetic resonance sequence scanning during probe ablation to obtain a multi-echo magnetic resonance image, and displaying the current temperature distribution and thermal ablation range in real time based on the multi-echo magnetic resonance image until the tumor is completely ablated.

[0010] Optionally, in one embodiment of this application, obtaining a scanned image based on a three-dimensional magnetic resonance scan and segmenting the organ region and tumor region according to the scanned image includes: receiving an operation command input by a user in the interface function guide area; displaying the scanned image according to the display command in the operation command; performing automatic segmentation based on U-net according to the segmentation command in the operation command to identify the organ region and the tumor region; and setting the tumor position and probe position and orientation according to the setting command in the operation command to perform temperature simulation based on a priori probe model and display the cell inactivation area.

[0011] Optionally, in one embodiment of this application, after performing temperature simulation based on the prior probe model, the method further includes: checking whether the probe and power parameters are currently set and / or whether organ segmentation is performed according to the check instruction in the operation instruction, and recording the relationship between the current tumor and the probe.

[0012] Optionally, in one embodiment of this application, the step of performing real-time magnetic resonance scanning during probe insertion to obtain a current magnetic resonance image, and identifying the probe tip, probe angle, and tumor coordinates in the current magnetic resonance image, includes: loading the current magnetic resonance image according to the loading instruction in the operation instructions; setting the tumor coordinates, probe tip coordinates, and probe direction according to the setting instruction in the operation instructions; and displaying the probe tip, probe angle, and tumor coordinates in real time after starting needle insertion according to the confirming instruction in the operation instructions.

[0013] Optionally, in one embodiment of this application, the step of performing magnetic resonance sequence scanning during probe ablation to obtain multi-echo magnetic resonance images, and displaying the current temperature distribution and thermal ablation range in real time based on the multi-echo magnetic resonance images, includes: determining the magnetic resonance scanning time resolution according to the interval instruction in the operation command; acquiring the current magnetic resonance image in real time based on the magnetic resonance scanning time resolution, calculating the temperature distribution, displaying the thermal ablation range, and simultaneously turning on the probe power to start heating; and turning off the probe power after heating is completed.

[0014] A second aspect of this application provides a magnetic resonance-assisted ablation therapy device, comprising: a detection module for detecting the current surgical progress of a tumor ablation procedure; a scanning module for obtaining a scan image based on a three-dimensional magnetic resonance scan when the current surgical progress is detected as preoperative simulation, and segmenting the organ region and tumor region according to the scan image to assist in generating an optimal probe strategy; an identification module for performing real-time magnetic resonance scanning during probe insertion when the current surgical progress is detected as intraoperative navigation, obtaining a current magnetic resonance image, and identifying the probe tip, probe angle, and tumor coordinates in the current magnetic resonance image to assist the probe in reaching the tumor; and an ablation module for performing magnetic resonance sequence scanning during probe ablation when the current surgical progress is detected as intraoperative temperature measurement, obtaining a multi-echo magnetic resonance image, and displaying the current temperature distribution and thermal ablation range in real time based on the multi-echo magnetic resonance image until the tumor is completely inactivated.

[0015] Optionally, in one embodiment of this application, the scanning module includes: a receiving unit, configured to receive an operation command input by a user in the interface function guide area; and a first processing unit, configured to display the scanned image according to the display command in the operation command, and perform automatic segmentation based on U-net according to the segmentation command in the operation command to identify the organ region and the tumor region, and set the tumor position and probe position and orientation according to the setting command in the operation command to perform temperature simulation based on a priori probe model and display the cell inactivation area.

[0016] Optionally, in one embodiment of this application, the apparatus of this application embodiment further includes: an inspection module, configured to, after performing temperature simulation based on the prior probe model, check whether the probe and power parameters are currently set and / or whether organ segmentation is performed according to the inspection instruction in the operation instruction, and record the relationship between the current tumor and the probe.

[0017] Optionally, in one embodiment of this application, the identification module includes: a loading unit, used to load the current magnetic resonance image according to the loading instruction in the operation instruction; a setting unit, used to set the tumor coordinates, probe tip coordinates and probe direction according to the setting instruction in the operation instruction; and a display unit, used to display the probe tip, probe angle and tumor coordinates in real time after the needle insertion starts according to the determination instruction in the operation instruction.

[0018] Optionally, in one embodiment of this application, the ablation module includes: a determining unit, configured to determine the magnetic resonance scanning time resolution according to the interval instruction in the operation instruction; and a second processing unit, configured to acquire the current magnetic resonance image in real time based on the magnetic resonance scanning time resolution, calculate the temperature distribution, display the thermal ablation range, and simultaneously turn on the probe power to start heating, and turn off the probe power after heating is completed.

[0019] 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 magnetic resonance-assisted ablation therapy method as described in the above embodiments.

[0020] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the magnetic resonance-assisted ablation treatment method described above.

[0021] This application's embodiments can detect the current surgical progress of tumor ablation surgery. When preoperative simulation is detected, a three-dimensional magnetic resonance imaging (MRI) scan is obtained, and the organ region and tumor region are segmented to assist in generating the optimal probe strategy. When intraoperative navigation is detected, a real-time MRI scan is performed during probe insertion to obtain the current MRI image, and the probe tip, probe angle, and tumor coordinates are marked to assist the probe in reaching the tumor. When intraoperative temperature measurement is detected, a MRI sequence scan is performed during probe ablation to obtain multi-echo MRI images, and the current temperature distribution and thermal ablation range are displayed in real time until the tumor is completely inactivated. This solves the problems in related technologies where the tumor region can only be heated to 43°C to 50°C, resulting in a low heating temperature range, which reduces the tumor inactivation rate and efficiency, increases the postoperative recurrence rate, and consequently reduces the success rate and applicability of the surgery.

[0022] 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

[0023] 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:

[0024] Figure 1 This is a flowchart of a magnetic resonance-assisted ablation therapy method provided according to an embodiment of this application;

[0025] Figure 2 This is a schematic diagram of the image display interface of the 3DSlicer preoperative simulation function according to a specific embodiment of this application;

[0026] Figure 3 A schematic diagram of the image segmentation interface for the 3DSlicer preoperative simulation function of a specific embodiment of this application;

[0027] Figure 4 This is a schematic diagram of the 3DSlicer intraoperative navigation function display interface according to a specific embodiment of this application;

[0028] Figure 5 This is a schematic diagram of real-time navigation according to a specific embodiment of this application;

[0029] Figure 6 This is a schematic diagram of the intraoperative temperature measurement function display interface according to a specific embodiment of this application;

[0030] Figure 7 This is a schematic diagram of the structure of a magnetic resonance-assisted ablation therapy device according to an embodiment of this application;

[0031] Figure 8This is a schematic diagram of the structure of an electronic device provided according to an embodiment of this application. Detailed Implementation

[0032] 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.

[0033] The following description, with reference to the accompanying drawings, describes a magnetic resonance-assisted ablation treatment method and apparatus according to embodiments of this application. Addressing the issue mentioned in the background section that related technologies can only heat the tumor region to 43°C to 50°C, resulting in a low heating temperature range, which reduces tumor inactivation rate and efficiency while increasing postoperative recurrence rate, thus lowering surgical success rate and applicability, this application provides a magnetic resonance-assisted ablation treatment method. In this method, the current surgical progress of the tumor ablation procedure can be detected. When preoperative simulation is detected, a three-dimensional magnetic resonance scan is used to obtain a scan image, and the organ region and tumor region are segmented to assist in generating an optimal probe strategy. When intraoperative navigation is detected, real-time magnetic resonance scanning is performed during probe insertion to obtain the current magnetic resonance image, and the probe tip, probe angle, and tumor coordinates are identified to assist the probe in reaching the tumor. When intraoperative temperature measurement is detected, magnetic resonance sequence scanning is performed during probe ablation to obtain multi-echo magnetic resonance images, and the current temperature distribution and thermal ablation range are displayed in real time until the tumor is completely inactivated. This solves the problem that related technologies can only heat the tumor area to 43°C to 50°C, resulting in a low heating temperature range, which reduces the tumor inactivation rate and efficiency, increases the postoperative recurrence rate, and consequently reduces the success rate and applicability of the surgery.

[0034] Specifically, Figure 1 This is a schematic flowchart of a magnetic resonance-assisted ablation therapy method provided in an embodiment of this application.

[0035] like Figure 1 As shown, this magnetic resonance-assisted ablation therapy method includes the following steps:

[0036] In step S101, the current surgical progress of the tumor ablation procedure is detected.

[0037] It is understood that the embodiments of this application can detect the current surgical progress of tumor ablation surgery, which can be divided into three processes: preoperative simulation, intraoperative navigation, and intraoperative temperature measurement. This ensures that a minimally invasive ablation surgery visualization platform can be designed and can interact with the magnetic resonance imaging machine, thereby quickly providing more intuitive real-time data and improving the success rate of the surgery.

[0038] In step S102, when the current surgical process is detected to be a preoperative simulation, a scan image is obtained based on a three-dimensional magnetic resonance scan, and the organ region and tumor region are segmented according to the scan image to assist in generating the optimal probe strategy.

[0039] In actual execution, when the embodiments of this application detect that the current surgical process is a preoperative simulation, the scanning image can be obtained based on three-dimensional magnetic resonance scanning. For example, a three-dimensional T2-weighted magnetic resonance scan can be performed before the surgery to obtain the scanning image. The organ region and the tumor region can be segmented based on the U-net in the following steps. The doctor can plan the probe insertion point and insertion angle according to the segmentation results and perform multiple simulations until a suitable probe scheme is determined.

[0040] In addition, the embodiments of this application can predict the global temperature field distribution and provide the thermal ablation range based on parameters such as probe position, tumor shape and size, heat source power, and heating time. Furthermore, by changing the heat source power and heating time multiple times, a suitable ablation heating scheme can be determined, thereby improving the soft tissue resolution of the image and enabling temperature simulation. This provides doctors with comprehensive preoperative simulation and effectively improves the success rate of the surgery.

[0041] Optionally, in one embodiment of this application, obtaining a scanned image based on a three-dimensional magnetic resonance scan and segmenting organ regions and tumor regions according to the scanned image includes: receiving an operation command input by a user in the interface function guide area; displaying the scanned image according to the display command in the operation command; performing automatic segmentation based on U-net according to the segmentation command in the operation command to identify organ regions and tumor regions; and setting the tumor position and probe position and orientation according to the setting command in the operation command to perform temperature simulation based on a priori probe model and display the cell inactivation area.

[0042] As one possible way to achieve this, such as Figure 2 As shown, the embodiments of this application can receive operation instructions input by the user in the interface function guide area. For example, in the preoperative simulation function, the user can click the "ImportDicom Folder" button in the function guide area to import and display a three-dimensional magnetic resonance image in dicom format. At this time, clicking the "Volumerendering" button displays a three-dimensional image, which makes it easier for doctors to see the relationship between the probe and the patient more intuitively and clearly when placing the simulation probe.

[0043] Next, as Figure 3As shown, clicking the "Auto Segment" button performs automatic segmentation based on U-net and marks the tumor region and organ region. Clicking the "Volume rendering" button will display the 3D models of the organ and tumor. The display of the organ model can be adjusted (since the tumor is a solid tumor, the organ model usually covers the tumor model, causing observation obstacles). At this time, the doctor can click the "Tumor Label" and "Needle Label" buttons to set the tumor position and probe position and orientation respectively. After setting, clicking the "Ablation Simulate" button will simulate the temperature based on the prior probe model and display the cell inactivation area. The doctor can compare the tumor region with the thermal ablation range and reset the position and orientation of the simulated probe, recalculate, until the doctor is satisfied with the probe heating under the given position and orientation.

[0044] Optionally, in one embodiment of this application, after performing temperature simulation based on a priori probe model, the method further includes: checking whether probe and power parameters are currently set and / or whether organ segmentation is performed according to the check instructions in the operation instructions, and recording the current relationship between the tumor and the probe.

[0045] In some embodiments, the embodiments of this application can check whether the probe and power parameters are currently set and / or whether organ segmentation is performed according to the check instructions in the operation instructions. For example, after the doctor completes the image segmentation and probe heating simulation, he can click the "Check & Next" button. The system will automatically check whether the probe and power parameters are currently set and whether organ segmentation is performed, and record the relationship between the current tumor and the probe, thereby entering the surgical navigation process in the next step, which effectively improves the tumor inactivation rate and inactivation efficiency.

[0046] In step S103, when the current surgical process is detected to be intraoperative navigation, a real-time magnetic resonance scan is performed during probe insertion to obtain the current magnetic resonance image. The probe tip, probe angle and tumor coordinates are marked in the current magnetic resonance image to assist the probe in reaching the tumor.

[0047] It is understood that the embodiments of this application can perform real-time magnetic resonance scanning during probe insertion and obtain the current magnetic resonance image. A deep learning network framework can be used to automatically identify and mark the probe tip, probe angle and tumor coordinates in the current magnetic resonance image until the probe reaches the tumor, which effectively improves the accuracy of tumor localization and enhances the tumor inactivation rate and inactivation efficiency.

[0048] Optionally, in one embodiment of this application, real-time magnetic resonance scanning is performed during probe insertion to obtain a current magnetic resonance image, and the probe tip, probe angle, and tumor coordinates are identified in the current magnetic resonance image, including: loading the current magnetic resonance image according to the loading instruction in the operation instructions; setting the tumor coordinates, probe tip coordinates, and probe direction according to the setting instruction in the operation instructions; and displaying the probe tip, probe angle, and tumor coordinates in real time after starting needle insertion according to the confirm instruction in the operation instructions.

[0049] In actual implementation, such as Figure 4 As shown, in this embodiment of the application, the current magnetic resonance image can be loaded according to the loading command in the operation instructions. For example, in the intraoperative navigation function, the current patient scan image can be loaded after clicking the "Load Real-time Image" button in the function guide area. Then, the tumor coordinates, probe tip coordinates, and probe direction can be set by clicking the "Tumor Location", "Needle Location", and "Needle Orientation" buttons respectively. After confirmation, the "Check & Start" button is clicked, and the needle insertion begins according to the confirmation command in the operation instructions. At the same time, the system will quickly read the magnetic resonance image and display the probe tip, probe angle, and tumor coordinates in real time. The position of the probe and the tumor is automatically identified in the image, which can help doctors observe the probe insertion process at any time, effectively improving the convenience and accuracy of the operation.

[0050] In some embodiments, such as Figure 5 The image shown is a real-time image display during the probe insertion process in an embodiment of this application. It shows the tumor and probe tracking results during the probe introduction process of the rapid golden-angle radial GRE sequence reconstruction image. In the figure, "Tumor" is the tumor tracking marker, and the straight line is the probe tracking marker. This allows doctors to have a comprehensive understanding of the patient's information before the operation and to observe the probe insertion image in real time during the operation, avoiding the situation of heat source deviation and improving the success rate of the operation.

[0051] Those skilled in the art should understand that, since there is no real-time image data of patients, images of normal volunteers are used for tracking. The "Tumor" label represents normal liver image spots, which are hypothetically considered as tumors for tracking algorithm verification. After the doctor completes the probe insertion, once the probe reaches the tumor, the "Finish & Next" button can be clicked. The system will automatically record the current relationship between the tumor and the probe, and read the preoperative simulation plan, thereby entering the intraoperative temperature measurement process in the following steps, effectively improving the safety of the surgery.

[0052] In step S104, when it is detected that the current surgical process is intraoperative temperature measurement, magnetic resonance sequence scanning is performed during probe ablation to obtain multi-echo magnetic resonance images, and the current temperature distribution and thermal ablation range are displayed in real time based on the multi-echo magnetic resonance images until the tumor is completely inactivated.

[0053] It is understood that, in the embodiments of this application, when the current surgical process is detected to be intraoperative temperature measurement, magnetic resonance sequence scanning can be performed during probe ablation to obtain multi-echo magnetic resonance images. Magnetic resonance temperature measurement can then be performed based on the multi-echo magnetic resonance images, and the current temperature distribution and thermal ablation range can be displayed in real time until the tumor is completely inactivated and the ablation surgery is completed. This can provide doctors with effective information on the ablation range and surgical progress in real time, thereby improving surgical safety.

[0054] Optionally, in one embodiment of this application, a magnetic resonance sequence scan is performed during probe ablation to obtain a multi-echo magnetic resonance image, and the current temperature distribution and thermal ablation range are displayed in real time based on the multi-echo magnetic resonance image, including: determining the magnetic resonance scan time resolution according to the interval instruction in the operation instruction; acquiring the current magnetic resonance image in real time based on the magnetic resonance scan time resolution, calculating the temperature distribution, displaying the thermal ablation range, turning on the probe power to start heating, and turning off the probe power after heating is completed.

[0055] As one possible way to achieve this, such as Figure 6 As shown, in this embodiment of the application, the magnetic resonance scanning time resolution can be determined according to the interval instruction in the operation command. For example, in the intraoperative temperature measurement function, the magnetic resonance scanning time resolution, i.e. the time interval between frames, can be entered in the "Timeresolution" field of the function guide area. Then, click "Check & Start". The system will start to acquire image data in real time and calculate the temperature distribution. At the same time, it will display the thermal ablation range and turn on the probe power to start heating. After heating is completed, the probe power will be turned off and the "Finish & stop" button will be clicked to complete the ablation operation and close the software system.

[0056] Among them, such as Figure 6 As shown, this is the result of a simulated heat source under a real magnetic resonance image. In the image display area, the upper left corner is the original magnetic resonance image, the lower left corner is the temperature distribution, and the lower right corner is the thermal ablation range calculated based on the temperature distribution and time resolution. Region I is the inactivated region. This effectively provides doctors with a field of vision for ablation surgery, while assisting in surgical planning and progress monitoring. It overcomes the inherent drawback of minimally invasive surgery, which makes it difficult to intuitively control the surgical process, and enables ablation surgery to adapt to more and more complex application scenarios.

[0057] For example, 3DSlicer is an open-source medical image processing software with toolkits such as ITK (Insight Segmentation and Registration Toolkit) and VTK (visualization toolkit), and supports secondary development based on languages ​​such as C++ and Python. In this embodiment, 3DSlicer can be further developed based on the Python language to design a minimally invasive ablation surgery visualization platform with three steps as the process framework: preoperative simulation, intraoperative navigation, and intraoperative temperature measurement. It interacts with the magnetic resonance imaging machine to quickly provide more intuitive real-time data.

[0058] Furthermore, to assist in clinical tumor ablation experiments, this application embodiment further develops the 3DSlicer open-source platform, integrating preoperative simulation, intraoperative navigation, and intraoperative temperature measurement into a minimally invasive surgical visualization platform. This platform interacts with magnetic resonance imaging (MRI) instruments. Preoperatively, it uses high-precision T2-weighted 3D MRI images for organ and tumor segmentation and probe heating simulation, aiding in surgical planning. During intraoperative navigation, it uses rapidly acquired MRI images to identify the probe and tumor positions in real time, assisting in lesion localization. In intraoperative temperature measurement, the MRI temperature measurement method described in this study is used for real-time temperature measurement and assessment of cell inactivation range, effectively achieving surgical supervision.

[0059] In summary, the addition of magnetic resonance imaging technology overcomes the inherent drawback of minimally invasive surgery, which makes it difficult to directly control the surgical process. It aims to improve the success rate and applicability of ablation surgery and reduce the possibility of postoperative recurrence.

[0060] According to the magnetic resonance-assisted ablation treatment method proposed in the embodiments of this application, the current surgical progress of tumor ablation surgery can be detected. When it is detected as preoperative simulation, a scanning image is obtained based on three-dimensional magnetic resonance scanning, and the organ region and tumor region are segmented to assist in generating the optimal probe strategy. When it is detected as intraoperative navigation, a real-time magnetic resonance scan is performed during probe insertion to obtain the current magnetic resonance image, and the probe tip, probe angle and tumor coordinates are marked to assist the probe in reaching the tumor. When it is detected as intraoperative temperature measurement, a magnetic resonance sequence scan is performed during probe ablation to obtain a multi-echo magnetic resonance image, and the current temperature distribution and thermal ablation range are displayed in real time until the tumor is completely inactivated.

[0061] Next, referring to the accompanying drawings, a magnetic resonance-assisted ablation therapy device based on an embodiment of this application is described.

[0062] Figure 7 This is a block diagram of a magnetic resonance-assisted ablation therapy device according to an embodiment of this application.

[0063] like Figure 7 As shown, the magnetic resonance-assisted ablation therapy device 10 includes: a detection module 100, a scanning module 200, an identification module 300, and an ablation module 400.

[0064] Specifically, the detection module 100 is used to detect the current surgical progress of tumor ablation surgery.

[0065] The scanning module 200 is used to obtain scanning images based on three-dimensional magnetic resonance scanning when the current surgical process is detected to be a preoperative simulation, and to segment organ regions and tumor regions according to the scanning images to assist in generating the optimal probe strategy.

[0066] The identification module 300 is used to perform real-time magnetic resonance scanning during probe insertion when the current surgical process is detected to be intraoperative navigation, obtain the current magnetic resonance image, and identify the probe tip, probe angle and tumor coordinates in the current magnetic resonance image to assist the probe in reaching the tumor.

[0067] The ablation module 400 is used to perform magnetic resonance sequence scanning during probe ablation when the current surgical process is detected to be intraoperative temperature measurement, to obtain multi-echo magnetic resonance images, and to display the current temperature distribution and thermal ablation range in real time based on the multi-echo magnetic resonance images until the tumor is completely inactivated.

[0068] Optionally, in one embodiment of this application, the scanning module 200 includes a receiving unit and a first processing unit.

[0069] The receiving unit is used to receive operation instructions entered by the user in the interface function guide area.

[0070] The first processing unit is used to display the scanned image according to the display instruction in the operation instructions, and to perform automatic segmentation based on U-net according to the segmentation instruction in the operation instructions, identify organ regions and tumor regions, and set the tumor position and probe position and orientation according to the setting instruction in the operation instructions, so as to perform temperature simulation based on the prior probe model and display the cell inactivation area.

[0071] Optionally, in one embodiment of this application, the apparatus 10 of this application embodiment further includes: an inspection module.

[0072] The inspection module is used to check whether probe and power parameters are currently set and / or whether organ segmentation is performed, according to the inspection instructions in the operation instructions after temperature simulation based on the prior probe model, and to record the relationship between the current tumor and the probe.

[0073] Optionally, in one embodiment of this application, the identification module 300 includes: a loading unit, a setting unit, and a display unit.

[0074] The loading unit is used to load the current magnetic resonance image according to the loading instruction in the operation command.

[0075] The setting unit is used to set the tumor coordinates, probe tip coordinates, and probe direction according to the setting instructions in the operation instructions.

[0076] The display unit is used to display the probe tip, probe angle, and tumor coordinates in real time after the needle insertion is started according to the confirmation command in the operation instructions.

[0077] Optionally, in one embodiment of this application, the ablation module 400 includes: a determining unit and a second processing unit.

[0078] The determining unit is used to determine the magnetic resonance scanning time resolution based on the interval instruction in the operation command.

[0079] The second processing unit is used to acquire the current magnetic resonance image in real time based on the magnetic resonance scanning time resolution, calculate the temperature distribution, display the thermal ablation range, turn on the probe power to start heating, and turn off the probe power after heating is completed.

[0080] It should be noted that the foregoing explanation of the embodiments of the magnetic resonance-assisted ablation treatment method also applies to the magnetic resonance-assisted ablation treatment device of this embodiment, and will not be repeated here.

[0081] According to the magnetic resonance-assisted ablation therapy device proposed in the embodiments of this application, the current surgical progress of tumor ablation surgery can be detected. When it is detected as preoperative simulation, a scanning image is obtained based on three-dimensional magnetic resonance scanning, and the organ region and tumor region are segmented to assist in generating the optimal probe strategy. When it is detected as intraoperative navigation, a real-time magnetic resonance scan is performed during probe insertion to obtain the current magnetic resonance image, and the probe tip, probe angle and tumor coordinates are marked to assist the probe in reaching the tumor. When it is detected as intraoperative temperature measurement, a magnetic resonance sequence scan is performed during probe ablation to obtain a multi-echo magnetic resonance image, and the current temperature distribution and thermal ablation range are displayed in real time until the tumor is completely inactivated.

[0082] Figure 8 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include:

[0083] The memory 801, the processor 802, and the computer program stored on the memory 801 and capable of running on the processor 802.

[0084] When the processor 802 executes the program, it implements the magnetic resonance-assisted ablation treatment method provided in the above embodiments.

[0085] Furthermore, electronic devices also include:

[0086] Communication interface 803 is used for communication between memory 801 and processor 802.

[0087] The memory 801 is used to store computer programs that can run on the processor 802.

[0088] The memory 801 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0089] If the memory 801, processor 802, and communication interface 803 are implemented independently, then the communication interface 803, memory 801, and processor 802 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 divided into address buses, data buses, control buses, etc. For ease of representation, Figure 8 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.

[0090] Optionally, in a specific implementation, if the memory 801, processor 802, and communication interface 803 are integrated on a single chip, then the memory 801, processor 802, and communication interface 803 can communicate with each other through an internal interface.

[0091] The processor 802 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.

[0092] This embodiment also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the magnetic resonance-assisted ablation treatment method described above.

[0093] 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.

[0094] 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.

[0095] 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.

[0096] 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.

[0097] 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.

[0098] 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.

[0099] 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.

[0100] 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 magnetic resonance-assisted ablation therapy device, characterized in that, include: The detection module is used to monitor the current surgical progress of tumor ablation surgery; A scanning module, used to obtain scanning images based on three-dimensional magnetic resonance scanning when the current surgical process is detected as a preoperative simulation, and to segment organ regions and tumor regions based on the scanning images to assist in generating an optimal probe strategy, including: The receiving unit is used to receive operation instructions input by the user in the interface function guide area; The first processing unit is configured to display the scanned image according to the display instruction in the operation instruction, and perform automatic segmentation based on U-net according to the segmentation instruction in the operation instruction to identify the organ region and the tumor region, and set the tumor position and probe position and orientation according to the setting instruction in the operation instruction to perform temperature simulation based on the prior probe model and display the cell inactivation area. An identification module is used to perform real-time magnetic resonance scanning during probe insertion when the current surgical process is detected to be intraoperative navigation, obtain a current magnetic resonance image, and identify the probe tip, probe angle, and tumor coordinates in the current magnetic resonance image to assist the probe in reaching the tumor; and The ablation module is used to perform magnetic resonance sequence scanning during probe ablation when the current surgical process is detected to be intraoperative temperature measurement, to obtain multi-echo magnetic resonance images, and to display the current temperature distribution and thermal ablation range in real time based on the multi-echo magnetic resonance images until the tumor is completely inactivated.

2. The apparatus according to claim 1, characterized in that, Also includes: The inspection module is used to check whether the probe and power parameters are currently set and / or whether organ segmentation is performed, according to the inspection instructions in the operation instructions after performing temperature simulation based on the prior probe model, and to record the relationship between the current tumor and the probe.

3. The apparatus according to claim 1 or 2, characterized in that, The identification module includes: The loading unit is used to load the current magnetic resonance image according to the loading instruction in the operation instruction; The setting unit is used to set the tumor coordinates, probe tip coordinates, and probe direction according to the setting instructions in the operation instructions; The display unit is used to display the probe tip, probe angle, and tumor coordinates in real time after the needle insertion is started according to the confirmation instruction in the operation command.

4. The apparatus according to any one of claims 1-3, characterized in that, The ablation module includes: A determining unit is used to determine the magnetic resonance scanning time resolution according to the interval instruction in the operation instruction; The second processing unit is used to acquire the current magnetic resonance image in real time based on the magnetic resonance scanning time resolution, calculate the temperature distribution, display the thermal ablation range, turn on the probe power to start heating, and turn off the probe power after heating is completed.

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