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- W2010844992 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." @default.
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- W2010844992 date "1998-04-21" @default.
- W2010844992 modified "2023-09-23" @default.
- W2010844992 title "<title>Synthesis of biomedical tissue</title>" @default.
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- W2010844992 doi "https://doi.org/10.1117/12.306179" @default.
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