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

A dose optimization method, device and storage medium based on Monte Carlo

An optimization method and optimization algorithm technology, applied in the direction of genetic laws, genetic models, instruments, etc., can solve the problems of time-consuming, complex calculation process, unfavorable clinical application, etc., and achieve the effect of reducing errors and accurate calculation results.

Active Publication Date: 2022-05-06
BEIJING LINKING MEDICAL TECH CO LTD
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But its calculation process is complex and very time-consuming on the CPU computing platform
[0004] If the Monte Carlo algorithm participates in each dose optimization, the optimization speed will be too slow, which is not conducive to actual clinical application

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
  • A dose optimization method, device and storage medium based on Monte Carlo
  • A dose optimization method, device and storage medium based on Monte Carlo
  • A dose optimization method, device and storage medium based on Monte Carlo

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] A Monte Carlo-based grid parallel dose optimization method, suitable for execution in computing equipment, wherein the parallelism in the Monte Carlo grid parallel dose optimization method includes two meanings, on the one hand: dividing the beam incident section 2D flux grid, each 2D flux grid corresponds to a sub-beam, and the radiation dose between sub-beams is calculated in parallel: Another aspect: each sub-beam contains n particles, and the The calculation of the radiation dose between is also parallel.

[0045] The method specifically includes the following steps (flow process is as follows: figure 2 shown):

[0046] (1) if figure 1 As shown, any cross-section in the incident direction of the beam is divided into two-dimensional flux grids, and each 2D flux grid corresponds to a sub-beam 311; preferably, the two-dimensional flux grids in this implementation are uniform rectangles grid;

[0047] Perform 312 gridding on the three-dimensional image of the patie...

Embodiment 2

[0070] A Monte Carlo-based grid parallel dose optimization method, suitable for execution in computing equipment, wherein the parallelism in the Monte Carlo grid parallel dose optimization method includes two meanings, on the one hand: dividing the beam incident section 2D flux grid, each 2D flux grid corresponds to a sub-beam, and the radiation dose between sub-beams is calculated in parallel: Another aspect: each sub-beam contains n particles, and the The calculation of the radiation dose between is also parallel.

[0071] The method specifically includes the following steps (flow process is as follows: image 3 shown):

[0072] (1) if figure 1 As shown, any cross-section in the incident direction of the beam is divided into a two-dimensional flux grid, and each 2D flux grid corresponds to a sub-beam 511; preferably, the two-dimensional flux grid in this implementation is a uniform rectangle grid;

[0073] Perform 3D gridding 512 on the three-dimensional image of the pat...

Embodiment 3

[0105] The invention also provides a computing device, comprising:

[0106] one or more processors;

[0107] storage; and

[0108] One or more programs, wherein one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including the Monte Carlo-based grid parallel dose for the above-mentioned Instructions for an optimization method comprising the steps of:

[0109] (1) Divide any section in the incident direction of the beam into a two-dimensional flux grid, and each 2D flux grid corresponds to a sub-beam;

[0110] 3D gridding of the 3D image of the patient or phantom, where each grid is a voxel;

[0111]Set the weights of each grid in the 2D flux grid to be equal, and use the 2D flux grid to calculate the radiation dose of each voxel in the region of interest based on the Monte Carlo transport principle;

[0112] (2) Use the optimization algorithm to optimize the weight of the 2D flux grid to achiev...

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 belongs to the field of radiotherapy dose calculation, and relates to a dose optimization method, equipment and storage medium based on Monte Carlo. The method comprises the following steps: dividing any section in the incident direction of the beam into two-dimensional flux grids, each 2D flux grid corresponding to a sub-beam; performing 3D gridding on the three-dimensional image of the patient or phantom, Each grid is a voxel; set the weight of each grid in the 2D flux grid to be equal, and use the 2D flux grid to calculate the radiation dose of each voxel in the region of interest based on the Monte Carlo transport principle; Use the optimization algorithm to optimize the weight of the 2D flux grid to achieve the optimization goal; output the result. The Monte Carlo-based grid parallel dose optimization method provided by the present invention solves the defect that MC participates in each optimization during the optimization process in the prior art and causes slow calculation speed; and adds an output factor correction step to make the corrected 3D mesh The calculation result of the grid radiation dose is accurate and the error is greatly reduced.

Description

technical field [0001] The invention belongs to the field of radiotherapy dose calculation, and relates to a dose optimization method, equipment and storage medium based on Monte Carlo. Background technique [0002] The fundamental purpose of radiotherapy is to strive to increase the gain ratio of radiotherapy, that is, to maximize the dose of radiation in the target area to kill the tumor, so that the normal tissues or organs around the lesion are less exposed to or protected from radiation. To achieve this goal, the dose distribution of the target area must be accurately calculated before radiotherapy. Accurate planning in the radiotherapy system is an important part of achieving precise radiotherapy, and accurate radiation dose calculation methods and fast and effective intensity-modulated optimization algorithms are the premise and guarantee for formulating high-quality radiotherapy plans. [0003] In the prior art, commonly used dose calculation methods mainly include ...

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 Patents(China)
IPC IPC(8): G16H20/40G06T17/20G06N3/12G06N3/00
CPCG16H20/40G06T17/20G06N3/126G06N3/006
Inventor 李贵
Owner BEIJING LINKING MEDICAL TECH CO LTD
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