Using a statistical shape model to extract sulcal curves on the outer cortex of the human brain

IEEE Transactions on Medical Imaging

Volumn 21, Issue 5, 2002, Pages 513-524

  Tao, Xiaodong ^a,b   Prince, Jerry L ^c   Davatzikos, Christos ^b  

^a Ctr for Biomedical Image Computing   (United States)

^b JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

Automatic sulcal extraction; Outer cortex; Statistical shape model; Unit sphere

Indexed keywords

AUTOMATIC SULCAL EXTRACTION; OUTER CORTEX; STATISTICAL SHAPE MODELING; UNIT SPHERE;

BRAIN; COMPUTATIONAL GEOMETRY; COMPUTER SIMULATION; CONVOLUTION; FEATURE EXTRACTION; IMAGE SEGMENTATION; MATHEMATICAL MODELS; OPTIMIZATION; STATISTICAL METHODS; TOPOLOGY;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN CORTEX; FACTUAL DATABASE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; CEREBRAL CORTEX; DATABASES, FACTUAL; HUMANS; IMAGE ENHANCEMENT; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 0036557910     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2002.1009387     Document Type: Conference Paper

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