Feasibility and advantages of diffusion weighted imaging atlas construction in Q-space

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 166-173

  Dhollander, Thijs ^a   Veraart, Jelle ^b   Van Hecke, Wim ^a,c,d   Maes, Frederik ^a   Sunaert, Stefan ^a,c   Sijbers, Jan ^b   Suetens, Paul ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b UNIVERSITY OF ANTWERP   (Belgium)

^c UNIVERSITY HOSPITALS LEUVEN   (Belgium)

^d ANTWERP UNIVERSITY HOSPITAL   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ATLAS CONSTRUCTION; DATA SETS; DIFFUSION IMAGING; DIFFUSION WEIGHTED IMAGING; DWI DATA; HEALTHY SUBJECTS; MATCHING ALGORITHM; MODEL RECONSTRUCTION; MULTI-CHANNEL; Q-SPACE;

DIFFUSION; IMAGE MATCHING; MEDICAL COMPUTING;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; BRAIN; BRAIN MAPPING; DIFFUSION WEIGHTED IMAGING; HUMAN; IMAGE ENHANCEMENT; IMAGE PROCESSING; METHODOLOGY; NERVE FIBER; PATHOLOGY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; BRAIN; BRAIN MAPPING; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, STATISTICAL; NERVE FIBERS;

EID: 80053520466     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23629-7_21     Document Type: Conference Paper

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