Depth potential function for folding pattern representation, registration and analysis

Medical Image Analysis

Volumn 13, Issue 2, 2009, Pages 203-214

  Boucher, Maxime ^a,b   Whitesides, Sue ^a   Evans, Alan ^b  

^a MCGILL UNIVERSITY   (Canada)

^b MCGILL UNIVERSITY   (Canada)

Author keywords

Partial differential equation modeling; Statistical studies; Surface registration; Surface shape analysis

Indexed keywords

COMPUTATIONAL ADVANTAGES; CORTICAL SURFACES; CURVED SURFACES; DEPTH MAPS; FOLDING PATTERNS; FUNDAMENTAL PROBLEMS; HUMAN BRAINS; INVARIANT REPRESENTATIONS; NATURAL PROJECTIONS; ORDERS OF MAGNITUDES; POTENTIAL FUNCTIONS; SCALAR FUNCTIONS; SHAPE MATCHING; STATISTICAL STUDIES; SURFACE REGISTRATION; SURFACE REPRESENTATIONS; SURFACE SHAPE ANALYSIS; SYNTHETIC SURFACES;

BRAIN; COMPUTATIONAL FLUID DYNAMICS; MAGNETIC RESONANCE IMAGING; POISSON DISTRIBUTION; POISSON EQUATION; SPECIAL EFFECTS; STATISTICS;

SURFACE ANALYSIS;

ANALYTIC METHOD; ARTICLE; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE PROCESSING; INTERMETHOD COMPARISON; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL PARAMETERS; NEUROANATOMY; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SURFACE PROPERTY;

AGED; ALGORITHMS; ALZHEIMER DISEASE; ARTIFICIAL INTELLIGENCE; BRAIN; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 62549110828     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2008.09.001     Document Type: Article

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