Unbiased white matter atlas construction using diffusion tensor images

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

Volumn 4792 LNCS, Issue PART 2, 2007, Pages 211-218

  Zhang, Hui ^a   Yushkevich, Paul A ^a   Rueckert, Daniel ^b   Gee, James C ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ANISOTROPY; IMAGE ACQUISITION; IMAGE REGISTRATION;

FRACTIONAL ANISOTROPY IMAGES; OPTIMAL ATLAS; TENSOR INFORMATION;

TENSORS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; CYTOLOGY; DIFFUSION WEIGHTED IMAGING; EVALUATION; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; MYELINATED NERVE; NERVE TRACT; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; COMPUTER SIMULATION; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, ANATOMIC; MODELS, BIOLOGICAL; NERVE FIBERS, MYELINATED; NEURAL PATHWAYS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 79551689580     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75759-7_26     Document Type: Conference Paper

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