Characterization of the similarity between diffusion tensors for image registration

Computers in Biology and Medicine

Volumn 39, Issue 3, 2009, Pages 251-265

  Muñoz Moreno, Emma ^a   Martin Fernandez, Marcos ^a  

^a UNIVERSITY OF VALLADOLID   (Spain)

Author keywords

Anisotropy; Brain structures; Diffusion direction; Diffusion tensor imaging; Image registration; Similarity measure

Indexed keywords

BRAIN STRUCTURES; DIFFUSION DIRECTION; DIFFUSION TENSOR IMAGING; DIFFUSION TENSORS; PHYSICAL MEANINGS; REGISTRATION ALGORITHMS; SIMILARITY MEASURE;

ANISOTROPY; COST FUNCTIONS; DIFFUSION; IMAGE REGISTRATION;

TENSORS;

ANISOTROPY; ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIFFUSION TENSOR IMAGING; DIFFUSION TYPE BASED MEASURE; IMAGE PROCESSING; IMAGE QUALITY; IMAGE RECONSTRUCTION; IMAGE REGISTRATION; LEARNING ALGORITHM; MEASUREMENT; PRIORITY JOURNAL; SIGNAL NOISE RATIO;

ALGORITHMS; ANISOTROPY; BRAIN; BRAIN MAPPING; COMPUTERS; DIFFUSION; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 60649117407     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2008.12.011     Document Type: Article

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