Radiotherapy target region establishment and correction method based on dose distribution preview system

A technology of dose distribution and target volume, applied in the computer field, can solve the problems of reduced treatment time, insufficient external expansion of the PTV boundary, and lack of overall dose distribution prediction, so as to improve the rationality and the quality of radiotherapy plans, and shorten the treatment delay. time, effectiveness of streamlining target modification and planning processes

Pending Publication Date: 2021-11-19
于金明 +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] (6) For radiotherapy plans that have been optimized repeatedly but still cannot meet the clinical requirements (high enough target dose, good uniformity and conformity, and low risk of organ-at-risk), the oncologist should reasonably revise the PTV contour and give feedback to the patient. Physicist reworks radiotherapy plan
[0014] (1) In the process of modifying the radiotherapy target area, the oncologist lacks the overall dose distribution prediction, dose index (or DVH map), HI\CI and other estimation methods corresponding to the current PTV, making it difficult to establish the PTV area in a guaranteed manner. Find a balance between prescribing therapeutic doses (necessary for the lesion and its surrounding area) and reducing risk to organs at risk (normal tissues and organs)
On the one hand, in order to ensure the dose of the lesion, while considering the elimination of the uncertainty of the irradiation dose caused by factors such as organ movement, shape change, setup error, and image error, it may cause the PTV boundary to expand excessively; on the other hand, for In cases where the original lesion is large in size, clos

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 target region establishment and correction method based on dose distribution preview system
  • Radiotherapy target region establishment and correction method based on dose distribution preview system
  • Radiotherapy target region establishment and correction method based on dose distribution preview system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0051] Abbreviations and key terms involved in the embodiments of the present invention are defined in the following table:

[0052]

[0053]

[0054] The inventive idea of ​​the present invention is that in recent years, deep learning technology has been widely used in the field of radiotherapy, mainly involving automatic diagnosis, automatic segmentation and dose prediction. The present invention first relies on the collection of a large n...

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 embodiment of the invention discloses a radiotherapy target region establishment and correction method based on a dose distribution preview system. The method comprises the following steps: reading CT image data, PTV contours and OARs contours; processing the CT image data and the PTV contour to obtain a processing result, wherein the processing result comprises a 3D dose distribution diagram, a DVH diagram, a concerned dose index and an HI/CI index; and on the basis of a processing result, carrying out engraving type correction on the PTV contour, so that the corrected PTV contour achieves a balance between ensuring the focus stress and reducing the risk of the crisis organ. The dose distribution preview system is designed based on deep learning, the target region modification and plan making process is simplified through the system, the rationality of radiotherapy target region establishment and the radiotherapy plan quality are improved, the treatment delay time of tumor patients is shortened, the burden of workers is reduced, and meanwhile the radiotherapy curative effect of the patients is improved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method for establishing and correcting a radiotherapy target area based on a dose distribution preview system. Background technique [0002] With the development of radiobiology and computer technology, radiation therapy (Radiation Therapy, RT) is increasingly playing an irreplaceable role in tumor treatment. The rational formulation of radiotherapy plan (RT Plan) is the basis to ensure the accuracy and good curative effect of radiotherapy, and in this process, the determination of radiotherapy target volume is an important prerequisite for plan formulation. The target volume is usually divided into three levels: GTV (Gross Tumor Volume, rough tumor target volume), CTV (Clinical Target Volume, clinical target volume) and PTV (Planning Target Volume, planning target volume). Among them, PTV is the key reference object for field layout, dose calculation, and plan evaluation. I...

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
IPC IPC(8): G16H20/40G16H50/50A61N5/10G06N3/04G06N3/08
CPCG16H20/40G16H50/50A61N5/1031G06N3/08G06N3/045
Inventor 于金明张功森王琳琳朱健穆向魁李兆斌刘新超贺小龙
Owner 于金明
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products