Parsimonious model selection for tissue segmentation and classification applications: A study using simulated and experimental DTI data

IEEE Transactions on Medical Imaging

Volumn 26, Issue 11, 2007, Pages 1576-1584

  Freidlin, Raisa Z ^a,b   Özarslan, Evren ^c   Komlosh, Michal E ^c   Chang, Lin Ching ^c   Koay, Cheng Guan ^c   Jones, Derek K ^d   Basser, Peter J ^c  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b George Washington University   (United States)

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

^d CARDIFF UNIVERSITY   (United Kingdom)

Author keywords

Diffusion tensor; Diffusion tensor imaging (DTI); Diffusion tensor magnetic resonance imaging (DT MRI); Hierarchical; Magnetic resonance imaging (MRI); Model selection; Parsimonious; Segmentation; Tissue classification

Indexed keywords

DIFFUSION; HIERARCHICAL SYSTEMS; MAGNETIC RESONANCE; MATHEMATICAL MODELS; MEDICAL IMAGING; NUMERICAL METHODS; TENSORS;

DIFFUSION TENSOR IMAGING (DTI); DIFFUSION TENSOR MAGNETIC RESONANCE IMAGING (DTMRI); DIFFUSION WEIGHTED IMAGING (DWI); MODEL SELECTION; TISSUE CLASSIFICATION;

TISSUE;

ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; DIFFUSION WEIGHTED IMAGING; HISTOLOGY; IMAGE ENHANCEMENT; IN VITRO STUDY; INFORMATION RETRIEVAL; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SPINAL CORD; STATISTICAL MODEL; SWINE; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; DIFFUSION MAGNETIC RESONANCE IMAGING; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPINAL CORD; SWINE;

EID: 35648946356     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2007.907294     Document Type: Article

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