Parametric representation of cortical surface folding based on polynomials

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

Volumn 5762 LNCS, Issue PART 2, 2009, Pages 184-191

  Zhang, Tuo ^a   Guo, Lei ^a   Li, Gang ^a   Nie, Jingxin ^a   Liu, Tianming ^b  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^b University of Georgia ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CEREBRAL CORTEX; CLUSTERING APPROACH; CORTICAL FOLDING; CORTICAL SURFACES; DATA-DRIVEN; DESCRIPTORS; GEOMETRICAL COMPLEXITY; MODEL DRIVEN APPROACH; PARAMETRIC REPRESENTATIONS; POLYNOMIAL REPRESENTATIONS; SHAPE INFORMATION; SHAPE PATTERNS; SUB-SPACES;

IMAGE RECORDING; LANDFORMS; POLYNOMIALS;

MEDICAL COMPUTING;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN CORTEX; COMPUTER ASSISTED DIAGNOSIS; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; CEREBRAL CORTEX; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84883836888     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04271-3_23     Document Type: Conference Paper

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