Multi-scale technology-based tumor texture feature extraction method

A technology of texture features and extraction methods, applied in the field of image processing, can solve the problem that important texture feature information cannot be used

Inactive Publication Date: 2016-08-17
SHANDONG NORMAL UNIV
View PDF2 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional pyramidal wavelet transform only decomposes the low-frequency part at each decomposition level, and only uses the information of the low-frequency sub-band of the texture image when extracting texture features, and cannot use the important texture feature information in the high-frequency sub-band

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
  • Multi-scale technology-based tumor texture feature extraction method
  • Multi-scale technology-based tumor texture feature extraction method
  • Multi-scale technology-based tumor texture feature extraction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] Below in conjunction with accompanying drawing and implementation content of the present invention will be further described:

[0050] In the present invention, a method for extracting tumor texture features based on multi-scale technology is proposed, so as to obtain more effective texture feature values ​​to help clinicians quantify tumor heterogeneity, assist in optimizing radiotherapy doses, and formulate more reasonable and effective treatments for patients. radiotherapy plan.

[0051] A method for extracting tumor texture features based on multi-scale technology, specifically comprising the following steps:

[0052] Step (1): Obtain PET images from the clinic and remove bed artifacts and noise components, and then edit and delineate the tumor treatment area GTV by clinicians combined with CT images in areas with SUV values ​​greater than 2.5;

[0053] Step (2): The PET image of the delineated GTV is imported into MATLAB software, the delineated area is segmented ...

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 multi-scale technology-based tumor texture feature extraction method. The method includes the following steps that: tumor PET image data are obtained from clinic, an ideal tumor treatment region is drawn; segmentation is carried out according to the boundary of the drawn target region, and gross tumor volume (GTV) is extracted, and PET images only containing the GTV are obtained; gray level quantization is performed on each PET image, and two-dimensional dual-tree complex wavelet transform is performed on the quantized images, and a plurality of sub-band images can be obtained from each image; all the sub-band images which are obtained by decomposing the PET images are re-combined into new stereo GTV; the mean and variance of a detail coefficient matrix obtained after two-dimensional dual-tree complex wavelet transform are calculated, and tumor texture feature values are calculated; and the relationships among the maximum values (SUVmax) of the tumor texture feature values and standardized uptake values, tumor TNM stages and infiltration depth are established, and the heterogeneous texture feature values of a quantized tumor are screened and optimized.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method for extracting tumor texture features based on multi-scale technology. Background technique [0002] Texture feature is the most basic visual feature of an image, and texture analysis technology has always been a research hotspot in the field of medical image processing. Fluorodeoxyglucose positron tomography (PET) labeled with F-18 has been widely used in predicting the curative effect of radiotherapy and chemotherapy in cancer patients, guiding individual treatment and prognosis. Studies in recent years have shown that the gray texture change characteristics of tumors in PET images can effectively evaluate the level and heterogeneity of FDG uptake in tumors, so that the degree of heterogeneity of tumors can be effectively quantified, and the obtained heterogeneity parameters can be used To predict the efficacy of radiotherapy and chemotherapy or to guide radiotherapy. ...

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): G06T7/00G06T7/60
Inventor 李登旺田园冷严李洪升陈进琥尹勇
Owner SHANDONG NORMAL UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap