Nasopharyngeal carcinoma primary lesion clinical target area automatic sketching method based on Grow Cut

A technology for primary disease and nasopharyngeal carcinoma, which is applied in the field of automatic delineation of clinical target area of ​​primary lesions of nasopharyngeal carcinoma based on GrowCut. The effect of reducing workload, setting precision and reasonableness, and reducing work efficiency

Inactive Publication Date: 2017-12-05
PERCEPTION VISION MEDICAL TECH CO LTD
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Due to the existence of objective reasons (only the perspective reference of the horizontal plane and the lack of reference of the upper and lower planes of view) and subjective reasons (subjective differences caused by different experience of different radiologists), the target area drawn manually at present results in different target volumes between different doctors. The delineation results of the districts vary widely
The determination of the follow-up treatment plan and the evaluation of the treatment effect have brought a negative impact
On the other hand, it usually takes 2-3 hours to delineate a patient's radiotherapy target area, which requires a lot of manpower and time costs, and the delineation system of ABAS is too simple, and a single distance extension is not suitable for complex structures and tissues.

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
  • Nasopharyngeal carcinoma primary lesion clinical target area automatic sketching method based on Grow Cut
  • Nasopharyngeal carcinoma primary lesion clinical target area automatic sketching method based on Grow Cut
  • Nasopharyngeal carcinoma primary lesion clinical target area automatic sketching method based on Grow Cut

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The present invention will be further described in detail below in conjunction with the embodiments and the accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0038] Relevant terms among the present invention are as follows:

[0039] Grosstumor volume (GTV): refers to the tumor range that is clinically visible and can be confirmed by diagnostic and therapeutic examination methods (including CT and MRI).

[0040] Primary tumor clinical target volume (clinical target volume, CTV): In addition to GTV, it also includes microscopically visible, subclinical lesions, and the range that the tumor may invade.

[0041] Cross-correlation algorithm: It is a frequent itemset algorithm for mining association rules, which mainly includes two stages of candidate set generation and downward closure detection of plots.

[0042] Computed Tomography (CT): Using precisely collimated X-ray beams, γ-rays, ultrasonic waves, etc., together with highl...

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 a method for automatically delineating clinical target areas of primary lesions of nasopharyngeal carcinoma based on GrowCut. The method includes the following steps: performing discrete operations on image sequences of template CT to generate corresponding three-dimensional grids; In the area, count the frequency of joint occurrences of spatially continuous grid points in the training set, obtain the corresponding correlation rules, and store them in the database; read the primary tumor data of nasopharyngeal carcinoma from new patients, and regard the primary tumor area as Seed points, set thresholds and termination conditions, innovatively use GrowCut, an algorithm originally applied to image segmentation, to simulate tumor growth, and realize automatic delineation of radiotherapy target areas. The invention can assist in the formulation of clinical radiotherapy plans, realize the automatic delineation of clinical radiotherapy target areas, meet the delineation standards for clinical applications, and improve the work efficiency of doctors. In addition, local adjustments will be used as post-processing for doctors to choose.

Description

technical field [0001] The invention relates to the fields of predicting tumor growth and simulating tumor spread, and in particular to a method for automatically delineating clinical target areas of nasopharyngeal carcinoma primary lesions based on GrowCut. 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,...

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 Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/136
CPCG06T7/0012G06T7/11G06T7/136G06T2207/10081G06T2207/20081G06T2207/30096
Inventor 陆遥李赋
Owner PERCEPTION VISION MEDICAL TECH CO LTD
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