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

Yinsheng Li; Jie Tang; Guang-Hong Chen

doi:10.1117/12.2008123

19 March 2013 Impact of norm selections on the performance of prior image constrained compressed sensing (PICCS)

Yinsheng Li, Jie Tang, Guang-Hong Chen

Proceedings Volume 8668, Medical Imaging 2013: Physics of Medical Imaging; 86681M (2013) https://doi.org/10.1117/12.2008123
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

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 L_p norms with p > 1 and investigate how image quality depends on the selection of the L_p norm used in the minimization of the objective function.

Citation Download Citation

Yinsheng Li, Jie Tang, and Guang-Hong Chen "Impact of norm selections on the performance of prior image constrained compressed sensing (PICCS)", Proc. SPIE 8668, Medical Imaging 2013: Physics of Medical Imaging, 86681M (19 March 2013); https://doi.org/10.1117/12.2008123

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