RSNA 2014 

Abstract Archives of the RSNA, 2014


INE120

Fundamentals of Texture Analysis and Potential Uses in Clinical Imaging

Education Exhibits

Presented on December 4, 2014
Presented as part of INS-THA: Informatics Thursday Poster Discussions

 Certificate of Merit

Participants

Hei Shun Yu MD, Presenter: Nothing to Disclose
Karen Buch MD, Abstract Co-Author: Nothing to Disclose
Brian Thomas Tischler MD, Abstract Co-Author: Nothing to Disclose
Naznin Daginawala MD, Abstract Co-Author: Nothing to Disclose
Baojun Li PhD, Abstract Co-Author: Nothing to Disclose
Hernan Jara PhD, Abstract Co-Author: Patent holder, qMRI algorithms Research Grant, General Electric Company Royalties, World Scientific Publishing Co
Akifumi Fujita MD, Abstract Co-Author: Nothing to Disclose
Jorge A. Soto MD, Abstract Co-Author: Nothing to Disclose
Osamu Sakai MD, PhD, Abstract Co-Author: Speaker, Bracco Group Speaker, KYORIN Holdings, Inc Speaker, Eisai Co, Ltd
Stephan W. Anderson MD, Abstract Co-Author: Nothing to Disclose

TEACHING POINTS

Post-processing image analysis techniques have played an important role in advanced medical imaging modalities. Texture analysis, originally used to evaluate the integrity of television and computer monitor screens, has started to be used in diagnostic image analysis techniques. Texture analyses involve an extraction of subtle texture features from the image which are then used for a variety of classification tasks such as distinguishing normal from abnormal tissue. Texture analysis offers a quantitative method for detecting subtle changes within an image based on local spatial patterns and pixel intensities. The purpose of this exhibit is to: 1. Describe the basics of texture analysis and parameters that make up texture analysis. 2. Discuss a variety roles of texture analysis in diagnostic imaging.

TABLE OF CONTENTS/OUTLINE

1. Review basic technique and fundamentals of texture analysis 2. Review role of texture analysis in diagnostic imaging -CT and MRI uses for texture analysis in medical imaging -Role of texture analysis in quantitatively defining image quality 3. Describe uses of texture analysis for different regions of the body -hepatic fibrosis -tumor classification: brain, liver, etc -osseous mineralization 4. Potential future applications for texture analysis

PDF UPLOAD

http://abstract.rsna.org/uploads/2014/14014027/14014027_bs4w.pdf

Cite This Abstract

Yu, H, Buch, K, Tischler, B, Daginawala, N, Li, B, Jara, H, Fujita, A, Soto, J, Sakai, O, Anderson, S, Fundamentals of Texture Analysis and Potential Uses in Clinical Imaging.  Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL. http://archive.rsna.org/2014/14014027.html