3D curve inference for diffusion MRI regularization

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

Volumn 3749 LNCS, Issue , 2005, Pages 123-130

  Savadjiev, Peter ^a   Campbell, Jennifer S W ^b   Pike, G Bruce ^b   Siddiqi, Kaleem ^a  

^a MCGILL UNIVERSITY   (Canada)

^b MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL GEOMETRY; DATA REDUCTION; DIFFUSION; IMAGE ANALYSIS; INFERENCE ENGINES; MEDICAL IMAGING;

BIOLOGICAL PHANTOM; DIFFERENTIAL GEOMETRIC FRAMEWORK; DIFFUSION MRI DATA; SYNTHETIC DATA;

MAGNETIC RESONANCE IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; DIFFUSION WEIGHTED IMAGING; EVALUATION; HUMAN; IMAGE ENHANCEMENT; IMAGE QUALITY; INSTRUMENTATION; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

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

EID: 33744789438     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11566465_16     Document Type: Conference Paper

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