PET image reconstruction using information theoretic anatomical priors

IEEE Transactions on Medical Imaging

Volumn 30, Issue 3, 2011, Pages 537-549

  Somayajula, Sangeetha ^a   Panagiotou, Christos ^b   Rangarajan, Anand ^c   Li, Quanzheng ^a   Arridge, Simon R ^b   Leahy, Richard M ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c UNIVERSITY OF FLORIDA   (United States)

Author keywords

Anatomical priors; joint entropy; mutual information; positron emission tomography

Indexed keywords

ANATOMICAL IMAGES; ANATOMICAL INFORMATION; ANATOMICAL PRIORS; BRAIN-SCAN DATA; EFFICIENT METHOD; FEATURE VECTORS; FUNCTIONAL IMAGES; GAUSSIANS; HYPERPARAMETERS; JOINT ENTROPY; LEVELS OF DETAIL; MAGNETIC RESONANCE IMAGES; MUTUAL INFORMATIONS; NON-PARAMETRIC; PARTIAL VOLUMES; PET IMAGE RECONSTRUCTION; PET IMAGES; POSITRON EMISSION; SCALE-SPACE THEORY; SIMILARITY MEASURE; STRIATUM; TOMOGRAPHIC;

COMPUTER SIMULATION; DATA REDUCTION; ELECTRONS; ENTROPY; FAST FOURIER TRANSFORMS; IMAGE RECONSTRUCTION; INFORMATION THEORY; INFORMATION USE; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; POSITRONS; VECTOR SPACES;

POSITRON EMISSION TOMOGRAPHY;

BENZAMIDE DERIVATIVE; DIAGNOSTIC AGENT; N ((1 ALLYL 2 PYRROLIDINYL)METHYL) 5 (3 FLUOROPROPYL) 2,3 DIMETHOXYBENZAMIDE; N-((1-ALLYL-2-PYRROLIDINYL)METHYL)-5-(3-FLUOROPROPYL)-2,3-DIMETHOXYBENZAMIDE; PYRROLIDINE DERIVATIVE; RADIOPHARMACEUTICAL AGENT;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; IMAGE QUALITY; IMAGE SUBTRACTION; METHODOLOGY; PARKINSON DISEASE; POSITRON EMISSION TOMOGRAPHY; REPRODUCIBILITY; SCINTISCANNING; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; BENZAMIDES; BRAIN; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PARKINSON DISEASE; PATTERN RECOGNITION, AUTOMATED; PHANTOMS, IMAGING; POSITRON-EMISSION TOMOGRAPHY; PYRROLIDINES; RADIOPHARMACEUTICALS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 79952165247     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2010.2076827     Document Type: Article

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