@inproceedings{517cab464ec546ada1555830b7f7efe5,
title = "Non-convex prior image constrained compressed sensing (NC-PICCS)",
abstract = "The purpose of this paper is to present a new image reconstruction algorithm for dynamic data, termed non-convex prior image constrained compressed sensing (NC-PICCS). It generalizes the prior image constrained compressed sensing (PICCS) algorithm with the use of non-convex priors. Here, we concentrate on perfusion studies using computed tomography examples in simulated phantoms (with and without added noise) and in vivo data, to show how the NC-PICCS method holds potential for dramatic reductions in radiation dose for time-resolved CT imaging. We show that NC-PICCS can provide additional undersampling compared to conventional convex compressed sensing and PICCS, as well as, faster convergence under a quasi-Newton numerical solver.",
keywords = "Compressed sensing, Computed tomography, Low dose CT, Noise reduction, PICCS, Radiation dose reduction",
author = "{Ram{\'i}rez Giraldo}, {Juan Carlos} and Trzasko, {Joshua D.} and Shuai Leng and McCollough, {Cynthia H.} and Armando Manduca",
year = "2010",
doi = "10.1117/12.837239",
language = "English (US)",
isbn = "9780819480231",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
number = "PART 2",
booktitle = "Medical Imaging 2010",
edition = "PART 2",
note = "Medical Imaging 2010: Physics of Medical Imaging ; Conference date: 15-02-2010 Through 18-02-2010",
}