GPU-based fast cone beam CT reconstruction from undersampled and noisy projection data via total variation

Medical Physics

Volumn 37, Issue 4, 2010, Pages 1757-1760

  Jia, Xun ^a   Lou, Yifei ^b   Li, Ruijiang ^a   Song, William Y ^a   Jiang, Steve B ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Cone beam CT; GPU; Reconstruction; Total variation

Indexed keywords

COMPUTATIONAL EFFICIENCY; GRAPHICS PROCESSING UNIT; IMAGE RECONSTRUCTION; ITERATIVE METHODS;

CONE-BEAM CT; CONEBEAM CT RECONSTRUCTION; FORWARD-BACKWARD SPLITTING ALGORITHM; HIGH COMPUTATION EFFICIENCY; IMAGE-GUIDED RADIATION THERAPY; RECONSTRUCTION ALGORITHMS; TOTAL VARIATION; TOTAL VARIATION REGULARIZATION;

COMPUTERIZED TOMOGRAPHY;

EID: 77950558510     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.3371691     Document Type: Article

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