Automatic deformable diffusion tensor registration for fiber population analysis

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

Volumn 5242 LNCS, Issue PART 2, 2008, Pages 1014-1022

  Irfanoglu, Mustafa Okan ^a   MacHiraju, Raghu ^a   Sammet, Steffen ^a   Pierpaoli, Carlo ^b   Knopp, Michael ^a  

^a OHIO STATE UNIVERSITY   (United States)

^b NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEFORMATION; MEDICAL COMPUTING; MEDICAL IMAGING;

ATLAS CONSTRUCTION; DEFORMATION FIELD; DIFFUSION TENSOR; MULTI-DIMENSIONAL SCALING; POPULATION ANALYSIS; REGISTRATION METHODS; REGISTRATION SCHEME; SHAPE PROPERTY;

TENSORS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; DIFFUSION WEIGHTED IMAGING; HISTOLOGY; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; METHODOLOGY; MYELINATED NERVE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; ULTRASTRUCTURE;

ALGORITHMS; BRAIN; DIFFUSION MAGNETIC RESONANCE IMAGING; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 79551687481     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85990-1_122     Document Type: Conference Paper

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