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
Preview |
Text
Thielemans_MIC_proceedings_M4CP190.pdf Download (631kB) | Preview |
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 > 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 > Department of Imaging 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 |




Archive Staff Only
![]() |
View Item |