A new non-monotonic algorithm for PET image reconstruction

IEEE Nuclear Science Symposium Conference Record

Volumn , Issue , 2009, Pages 2500-2502

  Sra, Suvrit ^a   Kim, Dongmin ^b   Dhillon, Inderjit ^b   Schölkopf, Bernhard ^a  

^a MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

^b UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

Convex optimization; Emission tomography; Non monotonic maximum likelihood; Ordered subsets expectation maximization (OS EM); Penalized likelihood; Transmission tomography

Indexed keywords

EMISSION TOMOGRAPHY; EXPECTATION MAXIMIZATION; IMAGE RECONSTRUCTION ALGORITHM; MONOTONIC ALGORITHMS; NONMONOTONIC; ORDERED SUBSETS EXPECTATION MAXIMIZATIONS; ORDERED-SUBSETS; ORDERS OF MAGNITUDE; PENALIZED LIKELIHOOD; PENALIZED LIKELIHOOD ESTIMATION; PENALIZED LIKELIHOOD TRANSMISSION; PET IMAGE RECONSTRUCTION; POISSON LIKELIHOOD; SURROGATE FUNCTION; TOMOGRAPHIC RECONSTRUCTION;

ALGORITHMS; CONVEX OPTIMIZATION; IMAGE RECONSTRUCTION; MAXIMUM PRINCIPLE; NUCLEAR PHYSICS; OPTIMIZATION; POSITRON EMISSION TOMOGRAPHY; REPAIR;

MAXIMUM LIKELIHOOD ESTIMATION;

EID: 77951191422     PISSN: 10957863     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NSSMIC.2009.5402060     Document Type: Conference Paper

References (8)

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