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

A computing device and storage medium for implementing a radiotherapy inverse optimization method

A technology of reverse optimization and computing equipment, applied in radiation therapy, X-ray/γ-ray/particle irradiation therapy, treatment, etc., can solve problems such as complex and time-consuming calculation process

Active Publication Date: 2021-04-20
BEIJING LINKING MEDICAL TECH CO LTD
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, its calculation process is complicated, and it is very time-consuming on the CPU computing platform, so it is rarely used clinically at present, and it is still in the stage of extensive research and continuous development.

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 computing device and storage medium for implementing a radiotherapy inverse optimization method
  • A computing device and storage medium for implementing a radiotherapy inverse optimization method
  • A computing device and storage medium for implementing a radiotherapy inverse optimization method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] A hybrid Monte Carlo radiotherapy inverse optimization method suitable for implementation in computing devices such as figure 1 Shown include the following steps:

[0042] (1) Input patient data and radiation source parameters, or import radiotherapy plan 210;

[0043] The radiotherapy plan imported includes patient data, radiation source parameters, and field parameters. In this embodiment, preferably, the patient data includes patient images, delineated organ tissues, and doctor's order data; the patient images include CT images, MRI images, or Combination; the sketched organ tissue includes normal organ tissue, shape and position of the target area; doctor's order data includes one or a combination of target radiotherapy dose, DVH curve, and radiotherapy dose constraint value for each organ; radiation source parameters include the type and shape of the radioactive source One or a combination of , position, energy or direction; the field parameters include one or a c...

Embodiment 2

[0064] A hybrid Monte Carlo radiotherapy inverse optimization method suitable for implementation in computing devices such as image 3 Shown include the following steps:

[0065] (1) Input patient data and radiation source parameters, or import radiotherapy plan 310;

[0066] The radiotherapy plan imported includes patient data, radiation source parameters, and field parameters. Preferably, the patient data includes patient images, outlined organ tissues, and doctor's order data; the patient images include one or a combination of CT images and nuclear magnetic images; the outlined Organ tissue includes normal organ tissue, shape and position of the target area; doctor's order data includes one or a combination of target radiotherapy dose, DVH curve, and radiotherapy dose constraint value for each organ; radioactive source parameters include the type, shape, position, and energy of the radioactive source or direction; field parameters include one or a combination of field angl...

Embodiment 3

[0079] A hybrid Monte Carlo radiotherapy inverse optimization method suitable for implementation in computing devices such as Figure 5 Shown include the following steps:

[0080] (1) Input patient data and radiation source parameters, or import radiotherapy plan 610;

[0081] The radiotherapy plan imported includes patient data, radiation source parameters, and field parameters. Preferably, the patient data includes patient images, outlined organ tissues, and doctor's order data; the patient images include one or a combination of CT images and nuclear magnetic images; the outlined Organ tissue includes normal organ tissue, shape and position of the target area; doctor's order data includes one or a combination of target radiotherapy dose, DVH curve, and radiotherapy dose constraint value for each organ; radioactive source parameters include the type, shape, position, and energy of the radioactive source or direction; field parameters include one or a combination of field ang...

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 technical field of radiotherapy dose calculation, and relates to a computing device and a storage medium for realizing a radiotherapy reverse optimization method. It includes the following steps: (1) input patient data and radiation source parameters; (2) add Monte Carlo calculation model to the analytical algorithm to calculate the mixed dose: 2a. first calculate the initial field parameters; 2b. As the input value of the optimization calculation, the analytical algorithm is used to continuously perform iterative optimization, and the Monte Carlo calculation model is inserted in the iterative optimization analytical algorithm process for dose calculation; 2c. When the dose calculation result meets the preset threshold value, the calculation is completed; (3) Output the result and display it. The mixed Monte Carlo radiotherapy inverse optimization method provided by the present invention combines the advantages of the Monte Carlo algorithm and the analytic algorithm to ensure the calculation speed while taking into account the calculation accuracy; at the same time, it also avoids the calculation caused by the "false convergence" obtained by using the analytic algorithm error.

Description

technical field [0001] The invention belongs to the technical field of radiotherapy dose calculation, and relates to a computing device and a storage medium for realizing a radiotherapy reverse optimization method. 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. [0003] In the prior art, commonly used dose calculation methods mainly include analytical algorithm and Monte Carlo (Monte Carlo) algorithm, wherein analytical algorithm includes pencil beam model (pencil beam model, PBM), convolution algorithm, etc., PBM dose calculation method can be used It is the most widely used technical method at presen...

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): A61N5/10
CPCA61N5/1031A61N2005/1034
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