Automated sulci identification via intrinsic modeling of cortical anatomy

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

Volumn 6363 LNCS, Issue PART 3, 2010, Pages 49-56

  Shi, Yonggang ^a   Sun, Bo ^b   Lai, Rongjie ^c   Dinov, Ivo ^a   Toga, Arthur W ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b SHANDONG UNIVERSITY SCHOOL OF MEDICINE   (China)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; MEDICAL IMAGING;

AGE GROUPS; ANATOMICAL PRIORS; AUTOMATED IDENTIFICATION; AUTOMATIC IDENTIFICATION; CAUCASIANS; CORTICAL SURFACES; INTRINSIC GEOMETRY; INTRINSIC SURFACES; MULTISCALE REPRESENTATIONS; QUANTITATIVE VALIDATION; ROBUST SYSTEMS; SOFTWARE TOOL; SURFACE EXTRACTION;

MEDICAL COMPUTING;

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

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

EID: 78349258916     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15711-0_7     Document Type: Conference Paper

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