A multivariate hypothesis testing framework for tissue clustering and classification of DTI data

NMR in Biomedicine

Volumn 22, Issue 7, 2009, Pages 716-729

  Freidlin, Raisa Z ^a   Özarslan, Evren ^b   Assaf, Yaniv ^c   Komlosh, Michal E ^b   Basser, Peter J ^b  

^a Division of Computational Bioscience   (United States)

^b EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH AND HUMAN DEVELOPMENT   (United States)

^c TEL AVIV UNIVERSITY   (Israel)

Author keywords

Classification; Clustering; Diffusion tensor; DTI; DWI; F test; Hypothesis testing; Region growing; ROI; Segmentation; Tissue

Indexed keywords

CLASSIFICATION; CLUSTERING; DIFFUSION TENSOR; DTI; DWI; F-TEST; HYPOTHESIS TESTING; REGION GROWING; ROI; SEGMENTATION;

CLUSTERING ALGORITHMS; DIFFUSION; TISSUE;

TENSORS;

PHOSMET;

ANIMAL TISSUE; ANISOTROPY; ARTICLE; AUTOMATION; CLASSIFICATION ALGORITHM; CLUSTER ANALYSIS; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; DATA ANALYSIS; DIFFUSION TENSOR IMAGING; IMAGE ANALYSIS; INTERMETHOD COMPARISON; MULTIVARIATE ANALYSIS; NONHUMAN; NULL HYPOTHESIS; PHANTOM; PRIORITY JOURNAL; RAT; SIGNAL NOISE RATIO; SPINAL CORD; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; SWINE; TISSUE TYPING; VALIDATION PROCESS; WHITE MATTER;

ANIMALS; ANISOTROPY; CLUSTER ANALYSIS; COMPUTER SIMULATION; DIFFUSION MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; ORGAN SPECIFICITY; PHANTOMS, IMAGING; RATS; SPINAL CORD; SUS SCROFA;

RATTUS; SUIDAE;

EID: 70049102529     PISSN: 09523480     EISSN: 10991492     Source Type: Journal    
DOI: 10.1002/nbm.1383     Document Type: Article

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