Shape-based normalization of the corpus callosum for DTI connectivity analysis

IEEE Transactions on Medical Imaging

Volumn 26, Issue 9, 2007, Pages 1166-1178

  Sun, Hui ^a   Yushkevich, Paul A ^a   Zhang, Hui ^a   Cook, Philip A ^a   Duda, Jeffrey T ^a   Simon, Tony J ^b   Gee, James C ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Corpus callosum; Geometrical representation; Image analysis; Medial; Medial representation; Shape analysis; Skeleton

Indexed keywords

IMAGE ANALYSIS; MATHEMATICAL MODELS; PARTIAL DIFFERENTIAL EQUATIONS; POLYNOMIAL APPROXIMATION; PROBLEM SOLVING; ROBUST CONTROL; STATISTICAL METHODS; TENSORS;

ANATOMICAL STRUCTURES; CORPUS CALLOSUM; DIFFUSION TENSOR TRACTOGRAPHY; MEDIAL REPRESENTATION; PYTHAGOREAN HODOGRAPH CURVES;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; CHILD; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; CONGENITAL MALFORMATION; CORPUS CALLOSUM; DIFFUSION WEIGHTED IMAGING; EVALUATION; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; MYELINATED NERVE; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CHILD; COMPUTER SIMULATION; CORPUS CALLOSUM; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 34548537657     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2007.900322     Document Type: Article

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