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Proceedings Paper

Synthesis of biomedical tissue
Author(s): Jannick P. Rolland; Alexei A. Goon; Eric Clarkson; Liyun Yu
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Paper Abstract

Image quality assessment in medical imaging requires realistic textured background that can be statistically characterized for the computation of model observers' performance. We present a modeling framework for the synthesis of texture as well as a statistical analysis of both sample and synthesized textures. The model employs a two-component image-decomposition consisting of a slowly, spatially varying mean-background and a residual texture image. Each component is synthesized independently. The technique is demonstrated using radiological breast tissue. For statistical characterization, we compute the two-point probability density functions for the real and synthesized breast tissue textures in order to provide a complete characterization and comparison of their second-order statistics. Similar computations for other textures yield further insight into the statistical properties of these types of random fields.

Paper Details

Date Published: 21 April 1998
PDF: 6 pages
Proc. SPIE 3340, Medical Imaging 1998: Image Perception, (21 April 1998); doi: 10.1117/12.306179
Show Author Affiliations
Jannick P. Rolland, CREOL/Univ. of Central Florida (United States)
Alexei A. Goon, CREOL/Univ. of Central Florida (United States)
Eric Clarkson, Optical Sciences Ctr./Univ. of Arizona (United States)
Liyun Yu, CREOL/Univ. of Central Florida (United States)

Published in SPIE Proceedings Vol. 3340:
Medical Imaging 1998: Image Perception
Harold L. Kundel, Editor(s)

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