A framework for brain registration via simultaneous surface and volume flow

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

Volumn 5636 LNCS, Issue , 2009, Pages 576-588

  Joshi, Anand ^a   Leahy, Richard ^b   Toga, Arthur W ^a   Shattuck, David ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN MR; BRAIN VOLUME; COREGISTERED; CORTICAL SURFACES; FOLDING PATTERNS; HARMONIC MAP; PARAMETER SPACES; REGISTRATION METHODS; SEGMENTED STRUCTURE; SHAPE DIFFERENCE; SUBCORTICAL STRUCTURES; SURFACE POINTS; UNIT BALL; VOLUME FLOW; VOLUME REGISTRATION; VOLUMETRIC MESH;

DATA PROCESSING; THREE DIMENSIONAL; VOLUMETRIC ANALYSIS;

MEDICAL IMAGING;

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

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 70349310255     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02498-6_48     Document Type: Conference Paper

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