PIRPLE: A penalized-likelihood framework for incorporation of prior images in CT reconstruction

Physics in Medicine and Biology

Volumn 58, Issue 21, 2013, Pages 7563-7582

  Stayman, J Webster ^a   Dang, Hao ^a   Ding, Yifu ^a   Siewerdsen, Jeffrey H ^a  

^a Johns Hopkins University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CURRENT RECONSTRUCTION; GENERAL METHODOLOGIES; MODEL BASED APPROACH; MODEL BASED RECONSTRUCTION; PENALIZED-LIKELIHOOD; PENALIZED-LIKELIHOOD ESTIMATIONS; RECONSTRUCTION METHOD; TOMOGRAPHIC RECONSTRUCTION;

COMPUTERIZED TOMOGRAPHY; IMAGE QUALITY;

IMAGE RECONSTRUCTION;

ALGORITHM; ARTICLE; CONE BEAM COMPUTED TOMOGRAPHY; IMAGE PROCESSING; METHODOLOGY; POISSON DISTRIBUTION; STATISTICAL MODEL;

ALGORITHMS; CONE-BEAM COMPUTED TOMOGRAPHY; IMAGE PROCESSING, COMPUTER-ASSISTED; LIKELIHOOD FUNCTIONS; POISSON DISTRIBUTION;

EID: 84886994808     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/58/21/7563     Document Type: Article

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