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.

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

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