Performance evaluation of MAP algorithms with different penalties, object geometries and noise levels

Yu Jung Tsai, Alexandre Bousse, Matthias J. Ehrhardt, Brian F. Hutton, Simon Arridge, Kris Thielemans

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

A new algorithm (LBFGS-B-PC) which combines ideas of two existing convergent reconstruction algorithms, relaxed separable paraboloidal surrogate (SPS) and limited-memory Broyden-Fletcher-Goldfarb-Shanno with boundary constraints (LBFGS-B), is proposed. Its performance is evaluated in terms of log-posterior value and regional recovery ratio. The results demonstrate the superior convergence speed of the proposed algorithm to relaxed SPS and LBFGS-B, regardless of the noise level, activity distribution, object geometry, and penalties.

Original languageEnglish
Title of host publication2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC
Place of PublicationU. S. A.
PublisherIEEE
ISBN (Electronic)9781467398626
DOIs
Publication statusPublished - 3 Oct 2016
Event2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015 - San Diego, USA United States
Duration: 31 Oct 20157 Nov 2015

Conference

Conference2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015
CountryUSA United States
CitySan Diego
Period31/10/157/11/15

ASJC Scopus subject areas

  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging
  • Instrumentation

Cite this

Tsai, Y. J., Bousse, A., Ehrhardt, M. J., Hutton, B. F., Arridge, S., & Thielemans, K. (2016). Performance evaluation of MAP algorithms with different penalties, object geometries and noise levels. In 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC [7582101] IEEE. https://doi.org/10.1109/NSSMIC.2015.7582101