Regularization design in penalized maximum-likelihood image reconstruction for lesion detection in 3D PET

Physics in Medicine and Biology

Volumn 59, Issue 2, 2014, Pages 403-419

  Yang, Li ^a   Zhou, Jian ^a   Ferrero, Andrea ^a,b   Badawi, Ramsey D ^a,b   Qi, Jinyi ^a  

^a University of California   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTERIZED TOMOGRAPHY; DESIGN; IMAGE RECONSTRUCTION; MONTE CARLO METHODS;

CHANNELIZED HOTELLING OBSERVERS; CLINICAL APPLICATION; EMISSION TOMOGRAPHY; LESION DETECTABILITY; PENALIZED MAXIMUM-LIKELIHOOD; QUADRATIC PENALTY FUNCTION; THEORETICAL EXPRESSION; TWO DIMENSIONAL IMAGES;

THREE DIMENSIONAL;

ARTICLE; FEMALE; HUMAN; IMAGE QUALITY; METHODOLOGY; MONTE CARLO METHOD; NEOPLASM; POSITRON EMISSION TOMOGRAPHY; SCINTISCANNING; SIGNAL NOISE RATIO; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

FEMALE; HUMANS; IMAGING, THREE-DIMENSIONAL; LIKELIHOOD FUNCTIONS; MONTE CARLO METHOD; NEOPLASMS; PHANTOMS, IMAGING; POSITRON-EMISSION TOMOGRAPHY; SIGNAL-TO-NOISE RATIO;

EID: 84896354249     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/59/2/403     Document Type: Article

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