Diffusion tensor image registration with combined tract and tensor features

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

Volumn 6892 LNCS, Issue PART 2, 2011, Pages 200-208

  Wang, Qian ^a,b   Yap, Pew Thian ^b   Wu, Guorong ^b   Shen, Dinggang ^b  

^a University of North Carolina   (United States)

^b UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATTRIBUTE VECTORS; DESCRIPTORS; DIFFUSION TENSOR IMAGES; DIFFUSION WEIGHTED IMAGES; FIBER TRACTS; GLOBAL CONNECTIVITY; GLOBAL LEVELS; LOW SNR; MORPHOLOGICAL SIGNATURES; MOVING IMAGE; MULTISCALES; TENSOR REPRESENTATION;

DIFFUSION; IMAGE REGISTRATION; MEDICAL COMPUTING; MEDICAL IMAGING; VECTOR SPACES;

TENSORS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER PROGRAM; DIFFUSION; DIFFUSION TENSOR IMAGING; FACTUAL DATABASE; HISTOLOGY; HUMAN; IMAGE PROCESSING; METHODOLOGY; MYELINATED NERVE; NONMYELINATED NERVE; PATHOLOGY; REPRODUCIBILITY;

ALGORITHMS; BRAIN; DATABASES, FACTUAL; DIFFUSION; DIFFUSION TENSOR IMAGING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; NERVE FIBERS, MYELINATED; NERVE FIBERS, UNMYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SOFTWARE;

EID: 82255193231     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23629-7_25     Document Type: Conference Paper

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