21 April 1998 Synthesis of biomedical tissue
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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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jannick P. Rolland, Jannick P. Rolland, Alexei A. Goon, Alexei A. Goon, Eric Clarkson, Eric Clarkson, Liyun Yu, Liyun Yu, } "Synthesis of biomedical tissue", Proc. SPIE 3340, Medical Imaging 1998: Image Perception, (21 April 1998); doi: 10.1117/12.306179; https://doi.org/10.1117/12.306179

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