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Proceedings Paper

Impact of norm selections on the performance of prior image constrained compressed sensing (PICCS)
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Paper Abstract

Advances have been made in recent years in computed tomography (CT) as a result of the development and implementation of new iterative reconstruction methods. Prior Image Constrained Compressed Sensing (PICCS) is one such iterative reconstruction method which iteratively minimizes an objective function to approach a target image. To date, published studies have employed the L1 norm in the minimization of the objective function. In this study, we investigate the use of Lp norms with p > 1 and investigate how image quality depends on the selection of the Lp norm used in the minimization of the objective function.

Paper Details

Date Published: 19 March 2013
PDF: 6 pages
Proc. SPIE 8668, Medical Imaging 2013: Physics of Medical Imaging, 86681M (19 March 2013); doi: 10.1117/12.2008123
Show Author Affiliations
Yinsheng Li, Univ. of Wisconsin-Madison (United States)
Jie Tang, Univ. of Wisconsin-Madison (United States)
Guang-Hong Chen, Univ. of Wisconsin-Madison (United States)


Published in SPIE Proceedings Vol. 8668:
Medical Imaging 2013: Physics of Medical Imaging
Robert M. Nishikawa; Bruce R. Whiting; Christoph Hoeschen, Editor(s)

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