Representing diffusion MRI in 5-D simplifies regularization and segmentation of white matter tracts

IEEE Transactions on Medical Imaging

Volumn 26, Issue 11, 2007, Pages 1547-1554

  Jonasson, Lisa ^a   Bresson, Xavier ^a   Thiran, Jean Philippe ^a   Wedeen, V J ^b   Hagmann, Patric ^a,c  

^a EPFL   (Switzerland)

^b MASSACHUSETTS GENERAL HOSPITAL   (United States)

^c LAUSANNE UNIVERSITY HOSPITAL   (Switzerland)

Author keywords

Diffusion magnetic resonance imaging (MRI); Five dimensional level sets; White matter segmentation and position orientation space

Indexed keywords

DIFFUSION; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; SPECTRUM ANALYSIS;

FIVE DIMENSIONAL LEVEL SETS; POSITION ORIENTATION SPACES; WHITE MATTER SEGMENTATION; WHITE MATTER TRACTS;

MAGNETIC RESONANCE IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; DIFFUSION WEIGHTED IMAGING; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MYELINATED NERVE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 35648987180     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2007.899168     Document Type: Article

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