Change detection in diffusion MRI using multivariate statistical testing on tensors

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

Volumn 6362 LNCS, Issue PART 2, 2010, Pages 117-124

  Grigis, Antoine ^a,b   Noblet, Vincent ^a   Renard, Félix ^a,b   Heitz, Fabrice ^a   Armspach, Jean Paul ^b   Rumbach, Lucien ^b  

^a UNIVERSITÉ DE STRASBOURG   (France)

^b Université de Strasbourg Faculté de Psychologie   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CHANGE DETECTION; DIFFUSIVITY CHANGES; EIGENVALUES; EIGENVECTORS; MULTIPLE SCLEROSIS; STATISTICAL TESTING; TESTING TOOLS; WHITE MATTER;

DIFFUSION; EIGENVALUES AND EIGENFUNCTIONS; MEDICAL COMPUTING; MEDICAL IMAGING; MULTIVARIANT ANALYSIS; POPULATION STATISTICS; SIGNAL DETECTION; STATISTICAL TESTS;

TENSORS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; DIFFUSION TENSOR IMAGING; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MULTIPLE SCLEROSIS; MULTIVARIATE ANALYSIS; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS;

ALGORITHMS; BRAIN; DATA INTERPRETATION, STATISTICAL; DIFFUSION TENSOR IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MULTIPLE SCLEROSIS; MULTIVARIATE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84883847829     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15745-5_15     Document Type: Conference Paper

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