Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Radiotherapy plan optimization system and method based on Monte Carlo tree search

A radiotherapy and tree search technology, applied in the field of radiotherapy planning optimization system based on Monte Carlo tree search, can solve a large number of problems such as iterative trial and error, it is difficult to achieve standards, the results are objective and accurate, and the workload of plan optimization is saved.

Active Publication Date: 2019-01-22
北京东方瑞云科技有限公司
View PDF6 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is: to propose a radiation treatment plan optimization system and method based on Monte Carlo tree search, to solve the problem that the radiation treatment plan optimization scheme in the traditional technology needs to rely on a lot of iterative trial and error and the experience of senior physicists

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Radiotherapy plan optimization system and method based on Monte Carlo tree search
  • Radiotherapy plan optimization system and method based on Monte Carlo tree search

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0050] This embodiment is an embodiment of a radiation treatment plan optimization method based on Monte Carlo tree search. This embodiment uses Varian's Eclipse TPS for rectal cancer, and uses Varian's published script based on IMRT treatment. Interface Eclipse Script API implementation. The implementation steps of the method for optimizing the radiotherapy plan are as follows: figure 2 shown, including:

[0051] 1. Select a group of target parameters as the initial value of the radiotherapy plan optimization process, and determine a plan evaluation standard according to the characteristics of the disease to be radiotherapy;

[0052] In this step, the selected target parameters come from the template target parameters commonly used by physicists, or from the dose value predicted by the machine learning model; the selected set of target parameters specifically includes target area target parameters and organ-at-risk target parameters; When determining the evaluation criteri...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to the field of radiotherapy plan optimization, discloses a radiotherapy plan optimization system and method based on Monte Carlo tree search, and solves the problem that a radiotherapy plan optimization scheme in the traditional technology needs to rely on a large number of iterative trial and error and senior physicist experience. The method comprises the steps of: a. selecting a set of target parameters as initial value of a radiotherapy plan optimization process, and determining plan evaluation criteria for characteristics of a disease to be treated; b. circularly performing the Monte Carlo tree search operation in conjunction with the plan evaluation criteria until a set of optimized target parameters is obtained; c. performing dose calculation on the optimization target parameters, and checking whether a calculation result meets the optimization requirements; if yes, ending the process; and if not, proceeding to a step d; and d. slightly adjusting the set ofoptimization target parameters and returning to the step b. In addition, the present invention also discloses a radiotherapy plan optimization system based on the Monte Carlo tree search, and the system is suitable for automatic optimization of a radiotherapy plan.

Description

technical field [0001] The invention relates to the field of radiotherapy plan optimization, in particular to a radiotherapy plan optimization system and method based on Monte Carlo tree search. Background technique [0002] Radiation therapy is a local treatment method that uses radiation to treat tumors, and is one of the mainstream tumor treatment methods at present. Radiation includes α, β, γ rays produced by radioactive isotopes and x-rays, electron beams, proton beams and other particle beams produced by various x-ray therapy machines or accelerators. Currently, about 70% of cancer patients require radiation therapy as part of their cancer treatment. [0003] The radiation therapy plan is a specific implementation plan for controlling the position of the tumor of the patient irradiated by the accelerator. It is formulated by the physicist using the Treatment Planning System (TPS) according to the prescription dose target specified by the radiation doctor. Its goal is ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): A61N5/10
CPCA61N5/1031A61N2005/1034
Inventor 何铁军王伟董梅平刘杰
Owner 北京东方瑞云科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com