Robust myelin quantitative imaging from multi-echo T2 MRI using edge preserving spatial priors

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8149 LNCS, Issue PART 1, 2013, Pages 622-630

  Shen, Xiaobo ^a   Nguyen, Thanh D ^b   Gauthier, Susan A ^b   Raj, Ashish ^b  

^a School of Operations Research and Information Engineering   (United States)

^b WEILL CORNELL MEDICAL COLLEGE   (United States)

Author keywords

edge preserving priors; myelin water fraction; T2 relaxometry

Indexed keywords

COEFFICIENTS OF VARIANCES; CONVENTIONAL APPROACH; DEMYELINATING DISEASE; EDGE PRESERVING; EXPECTATION-MAXIMIZATION FRAMEWORKS; MYELIN WATER FRACTIONS; RELAXOMETRY; SMOOTHNESS CONSTRAINTS;

ALGORITHMS; BRAIN;

MAGNETIC RESONANCE IMAGING;

BIOLOGICAL MARKER;

ALGORITHM; ARTICLE; BRAIN; COMPUTER ASSISTED DIAGNOSIS; DEMYELINATING DISEASE; ECHO PLANAR IMAGING; HUMAN; METABOLISM; METHODOLOGY; MYELIN SHEATH; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; TISSUE DISTRIBUTION;

ALGORITHMS; BIOLOGICAL MARKERS; BRAIN; DEMYELINATING DISEASES; ECHO-PLANAR IMAGING; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MYELIN SHEATH; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TISSUE DISTRIBUTION;

EID: 84885712362     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40811-3_78     Document Type: Conference Paper

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