Proceedings Paper
Adaptive multi-scale total variation minimization filter for low dose CT imaging| Format | Member Price | Non-Member Price |
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Paper Abstract
In this work we revisit TV filter and propose an improved version that is tailored to diagnostic CT purposes. We revise TV cost function, which results in symmetric gradient function that leads to more natural noise texture. We apply a multi-scale approach to resolve noise grain issue in CT images. We examine noise texture, granularity, and loss of low contrast in the test images. We also discuss potential acceleration by Nesterov and Conjugate Gradient methods.
Paper Details
Date Published: 21 March 2014
PDF: 7 pages
Proc. SPIE 9034, Medical Imaging 2014: Image Processing, 903426 (21 March 2014); doi: 10.1117/12.2043841
Published in SPIE Proceedings Vol. 9034:
Medical Imaging 2014: Image Processing
Sebastien Ourselin; Martin A. Styner, Editor(s)
PDF: 7 pages
Proc. SPIE 9034, Medical Imaging 2014: Image Processing, 903426 (21 March 2014); doi: 10.1117/12.2043841
Show Author Affiliations
Alexander Zamyatin, Toshiba Medical Research Institute USA (United States)
Gene Katsevich, Princeton Univ. (United States)
Roman Krylov, Univ. of Central Florida (United States)
Gene Katsevich, Princeton Univ. (United States)
Roman Krylov, Univ. of Central Florida (United States)
Published in SPIE Proceedings Vol. 9034:
Medical Imaging 2014: Image Processing
Sebastien Ourselin; Martin A. Styner, Editor(s)
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