Bayesian κ-Space time reconstruction of MR spectroscopic imaging for enhanced resolution

IEEE Transactions on Medical Imaging

Volumn 29, Issue 7, 2010, Pages 1333-1350

  Kornak, John ^a   Young, Karl ^a,b   Soher, Brian J ^c   Maudsley, Andrew A ^d  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b SAN FRANCISCO VETERANS AFFAIRS MEDICAL CENTER   (United States)

^c DUKE UNIVERSITY MEDICAL CENTER   (United States)

^d UNIVERSITY OF MIAMI MILLER SCHOOL OF MEDICINE   (United States)

Author keywords

Bayesian image analysis; expectation maximization (EM); K Bayes; magnetic resonance (MR); magnetic resonance spectroscopy imaging (MRSI); metabolite maps; MRSI reconstruction

Indexed keywords

BAYESIAN; BAYESIAN IMAGE ANALYSIS; EXPECTATION MAXIMIZATION; K-BAYES; MAGNETIC RESONANCE SPECTROSCOPY IMAGING; MAGNETIC RESONANCE SPECTROSCOPY IMAGING (MRSI);

ALGORITHMS; BAYESIAN NETWORKS; BIOMOLECULES; COMPUTER SIMULATION; DISCRETE FOURIER TRANSFORMS; IMAGE ANALYSIS; IMAGE SEGMENTATION; MAGNETIC MATERIALS; MAGNETIC RESONANCE; MAGNETISM; MAXIMUM PRINCIPLE; METABOLISM; METABOLITES; OPTIMIZATION; PARTICLE DETECTORS; REPAIR; SPIN POLARIZATION; WAVELET TRANSFORMS;

MAGNETIC RESONANCE SPECTROSCOPY;

BIOPOLYMER;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; BRAIN; COMPUTER ASSISTED DIAGNOSIS; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METABOLISM; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; BAYES THEOREM; BIOPOLYMERS; BRAIN; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MAGNETIC RESONANCE SPECTROSCOPY; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 77954225973     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2009.2037956     Document Type: Article

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