Anisotropic diffusion of tensor fields for fold shape analysis on surfaces

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

Volumn 6801 LNCS, Issue , 2011, Pages 271-282

  Boucher, Maxime ^a,b   Evans, Alan ^b   Siddiqi, Kaleem ^a  

^a MCGILL UNIVERSITY   (Canada)

^b MCGILL UNIVERSITY   (Canada)

Author keywords

Statistical Shape Analysis; Surface Morphometry

Indexed keywords

ANATOMICAL REGIONS; ANISOTROPIC DIFFUSION; CORTICAL SURFACES; DIFFUSION PROCESS; FOLDING PATTERNS; FRONTAL LOBES; HEALTHY SUBJECTS; ISOTROPIC DIFFUSION; SHAPE ANALYSIS; SHAPE DIFFERENCE; STATISTICAL SHAPE ANALYSIS; TEMPORAL LOBES; TENSOR FIELDS;

BRAIN; CURVE FITTING; DATA PROCESSING; DEFORMATION; MEDICAL IMAGING; OPTICAL ANISOTROPY;

DIFFUSION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN CORTEX; COMPUTER ASSISTED DIAGNOSIS; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CEREBRAL CORTEX; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 79959577261     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-22092-0_23     Document Type: Conference Paper

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