Mean template for tensor-based morphometry using deformation tensors

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

Volumn 4792 LNCS, Issue PART 2, 2007, Pages 826-833

  Leporé, Natasha ^a   Brun, Caroline ^a   Pennec, Xavier ^b   Chou, Yi Yu ^a   Lopez, Oscar L ^c   Aizenstein, Howard J ^c   Becker, James T ^c   Toga, Arthur W ^a   Thompson, Paul M ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b INRIA   (France)

^c UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BRAIN; COGNITIVE SYSTEMS; STATISTICAL METHODS;

DEFORMATION TENSORS; NONLINEAR REGISTRATION; TENSOR-BASED MORPHOMETRY (TBM);

TENSORS;

ACQUIRED IMMUNE DEFICIENCY SYNDROME; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; CORPUS CALLOSUM; DIFFUSION WEIGHTED IMAGING; EVALUATION; FEMALE; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; MALE; METHODOLOGY; MIDDLE AGED; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

AIDS DEMENTIA COMPLEX; ALGORITHMS; ARTIFICIAL INTELLIGENCE; CORPUS CALLOSUM; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 79551685933     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75759-7_100     Document Type: Conference Paper

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