Multi-Scale hierarchical generation of PET parametric maps: Application and testing on a [ 11C]DPN study

NeuroImage

Volumn 59, Issue 3, 2012, Pages 2485-2493

  Rizzo, G ^a   Turkheimer, F E ^b   Keihaninejad, S ^b   Bose, S K ^b   Hammers, A ^a,b,c   Bertoldo, A ^a  

^a UNIVERSITY OF PADOVA   (Italy)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c The Neurodis Foundation Fondation Neurodis   (France)

Author keywords

Bayesian estimation; Parametric imaging; Positron emission tomography

Indexed keywords

DIPRENORPHINE; DIPRENORPHINE C 11; OPIATE RECEPTOR; UNCLASSIFIED DRUG;

ACCURACY; ARTICLE; BRAIN MAPPING; BRAIN REGION; BRAIN STEM; CEREBELLUM; CLUSTER ANALYSIS; CORRELATIONAL STUDY; DISTRIBUTION VOLUME; DRUG BRAIN LEVEL; DRUG DISTRIBUTION; HIPPOCAMPUS; HUMAN; HUMAN EXPERIMENT; IMAGE QUALITY; INFERIOR FRONTAL GYRUS; ISOTOPE LABELING; LINGUAL GYRUS; NORMAL HUMAN; OPTICAL RESOLUTION; PARAMETRIC TEST; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL; PUTAMEN; SIGNAL DETECTION; TEST RETEST RELIABILITY; THALAMUS; TISSUE DISTRIBUTION;

ALGORITHMS; ATLASES AS TOPIC; BAYES THEOREM; BRAIN; BRAIN MAPPING; CALIBRATION; CARBON RADIOISOTOPES; CLUSTER ANALYSIS; DIPRENORPHINE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; KINETICS; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; NONLINEAR DYNAMICS; NORMAL DISTRIBUTION; POSITRON-EMISSION TOMOGRAPHY; RADIOPHARMACEUTICALS; REPRODUCIBILITY OF RESULTS;

EID: 84855432555     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2011.08.101     Document Type: Article

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