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CN-122023387-A - Ablation parameter optimization method and device, electronic equipment and storage medium

CN122023387ACN 122023387 ACN122023387 ACN 122023387ACN-122023387-A

Abstract

The embodiment of the disclosure provides an ablation parameter optimization method, an ablation parameter optimization device, electronic equipment and a storage medium, and relates to the technical field of medical image navigation. The method comprises the steps of obtaining medical images of target objects, executing at least one optimization operation on parameter values of all ablation parameters until convergence of a preset cost function is met, taking the parameter values of all the ablation parameters meeting the convergence of the preset cost function as target parameter values of all the ablation parameters, determining the parameter values of all the ablation parameters in the current optimization operation, determining a first energy field template from a plurality of candidate energy field templates based on the parameter values of the number of ablation needles, determining a predicted ablation area based on the first energy field template and the parameter values of all the needle withdrawal strategy parameters, determining a preset cost function based on the predicted ablation area and a focus area in the medical images, and optimizing the parameter values of all the ablation parameters based on the preset cost function. The embodiment of the disclosure improves the ablation effect.

Inventors

  • LIU HONGMEI
  • ZHONG XINGHUA

Assignees

  • 杭州维纳安可医疗科技有限责任公司

Dates

Publication Date
20260512
Application Date
20260320

Claims (13)

  1. 1. A method of optimizing ablation parameters, comprising: Acquiring a medical image of a target object; Performing at least one optimization operation on the parameter values of each ablation parameter until the preset cost function convergence is met, and taking the parameter values of each ablation parameter meeting the preset cost function convergence as target parameter values of each ablation parameter, wherein each ablation parameter comprises the number of ablation needles and at least one needle withdrawal strategy parameter; Wherein the optimizing operation includes: determining parameter values of various ablation parameters in the current optimization operation; determining a first energy field template corresponding to the current optimization operation from a plurality of candidate energy field templates based on the parameter values of the number of the ablation needles; Determining a predicted ablation region based on the first energy field template and parameter values of the respective needle withdrawal policy parameters; Determining the preset cost function based on the predicted ablation region and a focus region in the medical image; and optimizing the parameter values of each ablation parameter in the current optimizing operation based on the preset cost function, and taking the parameter values after optimizing each ablation parameter as the parameter values of each ablation parameter in the next optimizing operation.
  2. 2. The method of claim 1, wherein the candidate energy field templates correspond to a reference number of ablation needles forming the candidate energy field templates and a reference arrangement of ablation needles of the candidate energy field templates.
  3. 3. The method of claim 1, wherein the determining a predicted ablation region based on the first energy field template and parameter values for respective needle withdrawal policy parameters comprises: Determining a coordinate conversion relation between an image coordinate system of the medical image and an energy field coordinate system of the first energy field template; based on the coordinate conversion relation, carrying out coordinate conversion on the first energy field template, and based on the focus area and the predicted ablation area under the same coordinate system, determining an index value of a first coverage rate index and an index value of a second coverage rate index, wherein the first coverage rate index is used for measuring the coverage degree of the predicted ablation area on the focus area; and determining the preset cost function based on the index value of each coverage rate index.
  4. 4. The method of claim 3, wherein the determining an index value for a first coverage index and an index value for a second coverage index based on the lesion area and the predicted ablation area in the same coordinate system comprises: determining an index value of a first coverage index based on an intersection region between the lesion region and the predicted ablation region; an index value of a second coverage index is determined based on a union region between the lesion region and the predicted ablation region.
  5. 5. A method according to claim 3, wherein the respective ablation parameters further comprise a needle direction of an ablation needle; the method further comprises the steps of: and determining an index value of an needle insertion offset index based on the needle body direction of the ablation needle, wherein the needle insertion offset index is used for measuring the relative position relationship between the needle insertion direction of the ablation needle and the target object.
  6. 6. The method of claim 5, wherein the determining the preset cost function based on the index values of the respective coverage indexes comprises: and determining the preset cost function based on the index value of each coverage rate index, the index value of the needle-inserting offset index and the weight corresponding to each index.
  7. 7. The method of claim 3, wherein each ablation parameter further comprises at least one coordinate conversion parameter; The determining the coordinate conversion relation between the image coordinate system of the medical image and the energy field coordinate system of the first energy field template comprises: The coordinate conversion relationship is determined based on the parameter values of the respective coordinate conversion parameters.
  8. 8. The method of any one of claims 1 to 7, wherein the focal region in the medical image is determined based on: taking a mask region of a focus in the medical image as an initial region; determining an expansion distance parameter based on a preset safety boundary length and an image interval parameter of the medical image; and expanding the initial region based on the expansion distance parameter, and taking the expanded initial region as a focus region.
  9. 9. The method of any one of claims 1 to 7, wherein the reference arrangement for each of the candidate energy fields is an arrangement with a maximum coverage of energy fields generated by a reference number of ablation needles in the candidate energy field template.
  10. 10. An ablation parameter optimization apparatus, comprising: the acquisition module is used for acquiring the medical image of the target object; The optimizing module is used for executing at least one optimizing operation on the parameter values of all the ablation parameters until the preset cost function convergence is met, and taking the parameter values of all the ablation parameters meeting the preset cost function convergence as target parameter values of all the ablation parameters, wherein all the ablation parameters comprise the number of ablation needles and at least one needle withdrawal strategy parameter; Wherein the optimizing operation includes: determining parameter values of various ablation parameters in the current optimization operation; determining a first energy field template corresponding to the current optimization operation from a plurality of candidate energy field templates based on the parameter values of the number of the ablation needles; Determining a predicted ablation region based on the first energy field template and parameter values of the respective needle withdrawal policy parameters; Determining the preset cost function based on the predicted ablation region and a focus region in the medical image; and optimizing the parameter values of each ablation parameter in the current optimizing operation based on the preset cost function, and taking the parameter values after optimizing each ablation parameter as the parameter values of each ablation parameter in the next optimizing operation.
  11. 11. An electronic device comprising a memory, a processor and a computer program stored on the memory, characterized in that the processor executes the computer program to implement the method of any one of claims 1 to 9.
  12. 12. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the method of any one of claims 1 to 9.
  13. 13. A computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements the method of any one of claims 1 to 9.

Description

Ablation parameter optimization method and device, electronic equipment and storage medium Technical Field The disclosure relates to the technical field of medical image navigation, in particular to an ablation parameter optimization method, an ablation parameter optimization device, electronic equipment and a storage medium. Background Ablation refers to a local interventional technique for directly destroying a focus by various physical methods, and the ablation can comprise various modes such as radio frequency ablation, thermal ablation, cold ablation and the like. In practical application, the ablation needle is used for penetrating into a human body and reaching a corresponding focus, and the ablation needle is used for ablation. In the prior art, manual needle deployment is usually performed by a doctor, and depends on the experience of the doctor, so that the ablation effect is poor. Disclosure of Invention The embodiment of the disclosure provides an ablation parameter optimization method, an ablation parameter optimization device, electronic equipment and a storage medium, which can solve the problem of poor ablation effect caused by manual needle distribution in the prior art. The technical scheme provided by the disclosure is as follows: according to one aspect of the disclosed embodiments, there is provided an ablation parameter optimization method, the method comprising: Acquiring a medical image of a target object; Performing at least one optimization operation on the parameter values of each ablation parameter until the preset cost function convergence is met, and taking the parameter values of each ablation parameter meeting the preset cost function convergence as target parameter values of each ablation parameter, wherein each ablation parameter comprises the number of ablation needles and at least one needle withdrawal strategy parameter; Wherein the optimizing operation includes: determining parameter values of various ablation parameters in the current optimization operation; determining a first energy field template corresponding to the current optimization operation from a plurality of candidate energy field templates based on the parameter values of the number of the ablation needles; Determining a predicted ablation region based on the first energy field template and parameter values of the respective needle withdrawal policy parameters; Determining the preset cost function based on the predicted ablation region and a focus region in the medical image; and optimizing the parameter values of each ablation parameter in the current optimizing operation based on the preset cost function, and taking the parameter values after optimizing each ablation parameter as the parameter values of each ablation parameter in the next optimizing operation. According to another aspect of an embodiment of the present disclosure, there is provided an ablation parameter optimization apparatus, the apparatus including: the acquisition module is used for acquiring the medical image of the target object; The optimizing module is used for executing at least one optimizing operation on the parameter values of all the ablation parameters until the preset cost function convergence is met, and taking the parameter values of all the ablation parameters meeting the preset cost function convergence as target parameter values of all the ablation parameters, wherein all the ablation parameters comprise the number of ablation needles and at least one needle withdrawal strategy parameter; Wherein the optimizing operation includes: determining parameter values of various ablation parameters in the current optimization operation; determining a first energy field template corresponding to the current optimization operation from a plurality of candidate energy field templates based on the parameter values of the number of the ablation needles; Determining a predicted ablation region based on the first energy field template and parameter values of the respective needle withdrawal policy parameters; Determining the preset cost function based on the predicted ablation region and a focus region in the medical image; and optimizing the parameter values of each ablation parameter in the current optimizing operation based on the preset cost function, and taking the parameter values after optimizing each ablation parameter as the parameter values of each ablation parameter in the next optimizing operation. According to another aspect of an embodiment of the present disclosure, there is provided an electronic device including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of any one of the ablation parameter optimization methods described above when the program is executed by the processor. According to yet another aspect of the disclosed embodiments, there is provided a computer readable storage medium having stored thereon a computer program