Share Email Print

Proceedings Paper

PC-based entropy measures for analyzing leakage from microvessels
Author(s): Ahmed H. Desoky; Steven Hall; Patrick D. Harris; Khaled A. Kamel; Carol O'Connor
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Based on the assertion that entropy and leakage are related this paper describes the software implementation of a texture analysis technique which is based on entropy for analyzing macromolecular leakage from microvessels. Images of vessel leakage were compared to a pre-leakage image by computing their percent changes in entropy to give a relative measure of leakage. Entropy calculations were tested on different region sizes of the images to determine the regional sources as well as topographical spread of the leakage. Since entropy can be based on the statistics of both gray level components and frequency components the FWT (Fast-Walsh Transform) FF1'' (Fast-Fourier Transform) DCT (Discrete-Cosine Transform) and histogram routines were implemented in C to investigate the effects of transform type on the entropy measure. The percent changes in entropy from the frequency analyses were found to be more significant ''than changes in entropy from the histogram approach. Moreover the FWT was found to be comparable to the FFT and DCT with regard to the entropy measure and was thus chosen as the better transformation because it decreased computation time and memory requirements. This software package successfully produced a texture analysis technique based on entropy. However the exact quantitative relationship between vessel leakage and entropy measures has not fully been established. . 1.

Paper Details

Date Published: 1 July 1990
PDF: 10 pages
Proc. SPIE 1233, Medical Imaging IV: Image Processing, (1 July 1990); doi: 10.1117/12.18908
Show Author Affiliations
Ahmed H. Desoky, Univ. of Louisville (United States)
Steven Hall, Univ. of Louisville (United States)
Patrick D. Harris, Univ. of Louisville (United States)
Khaled A. Kamel, Univ. of Louisville (United States)
Carol O'Connor, Univ. of Louisville (United States)

Published in SPIE Proceedings Vol. 1233:
Medical Imaging IV: Image Processing
Murray H. Loew, Editor(s)

© SPIE. Terms of Use
Back to Top