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

An automatic delineation method for clinical target volume of primary lesions of nasopharyngeal carcinoma based on cross-correlation rules

A technology of interconnection and primary disease, applied in the research field of simulating tumor spread, to achieve the effect of improving work efficiency

Active Publication Date: 2019-09-27
PERCEPTION VISION MEDICAL TECH CO LTD
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing ABAS target area delineation system can only be implemented in the three-dimensional direction, and the numerical range specified by the user is rigidly expanded as the preventive irradiation target area

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
  • An automatic delineation method for clinical target volume of primary lesions of nasopharyngeal carcinoma based on cross-correlation rules
  • An automatic delineation method for clinical target volume of primary lesions of nasopharyngeal carcinoma based on cross-correlation rules
  • An automatic delineation method for clinical target volume of primary lesions of nasopharyngeal carcinoma based on cross-correlation rules

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0047] In this embodiment, a method for automatically delineating clinical target volumes of primary lesions of nasopharyngeal carcinoma based on correlation rules comprises the following steps:

[0048] S1. Generate a binary image of the nasopharyngeal primary tumor area, such as figure 1 As shown, the specific steps of binary image generation are:

[0049] S101. Read the tumor outline file drawn by the doctor, set the image pixel grid corresponding to the tumor area to 1, and set the pixel grid of the tumor-free area to 0.

[0050] The tumor area will use the method of judging whether the pixel points are within the polygon (InPolygon) to separate the non-tumor area and the tumor area. The specific calculation formula of InPolygon is:

[0051] IN=InPolygon(x,y,xv,yv)

[0052] In the formula, IN is the output binary image, and its size is the same as the original input CT image I(x, y), (x, y) is the coordinate of the pixel point, and (xv, yv) is the point coordinate on th...

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 discloses an automatic delineation method for clinical target areas of primary nasopharyngeal cancer lesions based on mutual correlation rules, which includes the following steps: generating a binary image of the nasopharyngeal primary tumor area; and removing unstable data on the outermost layer of the tumor. ; Perform data discrete operations on the template CT image sequence, divide the image sequence and generate corresponding three-dimensional grids; count the frequency of joint occurrences of voxels in the three-dimensional tumor area, and establish a database of association rules; read in the required outlines Based on the gross tumor data of new patients in the clinical target area, Hu association rules are used to simulate tumor growth and automatically outline the clinical radiotherapy target area. Compared with the current manual delineation, this system realizes the automation of delineation and improves the doctor's work efficiency. The delineation results meet the delineation standards required by the doctor, and local adjustments will be provided as post-processing for the doctor's choice.

Description

technical field [0001] The invention relates to the research field of simulating tumor diffusion, in particular to a method for automatically delineating clinical target areas of nasopharyngeal carcinoma primary lesions based on mutual correlation rules. Background technique [0002] Intensity Modulated Radiation Therapy (IMRT) is currently the mainstream radiotherapy technique for the treatment of nasopharyngeal carcinoma. Accurate target delineation is the prerequisite for successful clinical radiotherapy planning. The quality of life of patients after treatment has a very critical impact. At present, the delineation of the target area mainly relies on the manual delineation of doctors. The ABAS target area delineation system currently used in the hospital realizes the rigid expansion of the numerical range specified by the doctor as the preventive irradiation target area in the three-dimensional direction, and then, according to the clinical experience of the doctor, com...

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): G06T5/00G06T15/00G06T7/11
CPCG06T15/005G06T2207/30096G06T2207/10088G06T5/92G06T5/77
Inventor 陆遥孙颖喻莎田皎林丽李赋
Owner PERCEPTION VISION 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