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

Tsai, YJ; Bousse, A; Ehrhardt, MJ; Hutton, BF; 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). IEEE Green open access

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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.

Type: Proceedings paper
Title: Performance evaluation of MAP algorithms with different penalties, object geometries and noise levels
Event: 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference: 22nd International Symposium on Room-Temperature Semiconductor X-Ray and Gamma-ray Detectors
Location: San Diego, California, USA
Dates: 31 October 2015 - 07 November 2015
ISBN-13: 9781467398626
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/NSSMIC.2015.7582101
Publisher version: http://ieeexplore.ieee.org/document/7582101/
Language: English
Additional information: Copyright © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Phantoms, Image reconstruction, Convergence, Linear programming, Optimization, Noise level, Approximation algorithms, emission tomography, performance evaluation, MAP algorithms, object geometry, noise level, convergent reconstruction algorithms, relaxed separable paraboloidal surrogate, relaxed SPS, limited-memory Broyden-Fletcher-Goldfarb-Shanno with boundary constraints
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Experimental and Translational Medicine
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS
URI: https://discovery.ucl.ac.uk/id/eprint/1529606
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