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Dose optimization method and device based on Monte Carlo and storage medium

An optimization method and dose technology, applied in gene models, genetic rules, image data processing, etc., can solve problems such as time-consuming, complicated calculation process, slow optimization speed, etc., and achieve the effect of reducing errors and accurate calculation results

Active Publication Date: 2019-12-10
BEIJING LINKING MEDICAL TECH CO LTD
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  • 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

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  • Dose optimization method and device based on Monte Carlo and storage medium
  • Dose optimization method and device based on Monte Carlo and storage medium
  • Dose optimization method and device based on Monte Carlo and storage medium

Examples

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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 as 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 patient or phanto...

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...

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Abstract

The invention belongs to the field of radiotherapy dose calculation, and relates to a dose optimization method and device based on Monte Carlo, and a storage medium. The method comprises the followingsteps: dividing any cross section in the incident direction of a beam into two-dimensional flux grids, wherein each two-dimensional flux grid is corresponding to one sub-beam; carrying out 3D gridding on the three-dimensional image of a patient or a phantom, wherein each grid is a voxel; setting the weight of each grid in the 2D flux grid to be equal, and calculating the radiation dose of each voxel in the region of interest by utilizing the 2D flux grid based on the Monte Carlo transport principle; optimizing the 2D flux grid weight by using an optimization algorithm to realize an optimization target; and outputting results. The method provided by the invention overcomes the defect of low calculation speed caused by participation of MC in each optimization in the optimization process inthe prior art; and an output factor correction step is added, so that the corrected calculation result of the radiation dose of the 3D grid 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

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Application Information

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