Total bregman divergence and its applications to DTI analysis

IEEE Transactions on Medical Imaging

Volumn 30, Issue 2, 2011, Pages 475-483

  Vemuri, Baba C ^a   Liu, Meizhu ^a   Amari, Shun Ichi ^b   Nielsen, Frank ^c  

^a UNIVERSITY OF FLORIDA   (United States)

^b RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^c ÉCOLE POLYTECHNIQUE   (France)

Author keywords

Bregman divergence; diffusion tensor magnetic resonance image (DT MRI); Karcher mean; robustness; segmentation; tensor interpolation

Indexed keywords

IMAGE SEGMENTATION; INTERPOLATION; LINEAR TRANSFORMATIONS; MAGNETIC RESONANCE IMAGING; MATHEMATICAL TRANSFORMATIONS; PROBABILITY DENSITY FUNCTION; ROBUSTNESS (CONTROL SYSTEMS); STATISTICS;

BREGMAN DIVERGENCES; DIFFUSION TENSOR MAGNETIC RESONANCE IMAGES; KARCHER MEANS; KULLBACK-LEIBLER DIVERGENCE; POSITIVE-DEFINITE MATRICES; PROBABILITY DENSITY FUNCTIONS (PDFS); TENSOR INTERPOLATIONS; TOTAL BREGMAN DIVERGENCES;

TENSORS;

ALGORITHM; ANIMAL; ARTICLE; BRAIN; DIFFUSION TENSOR IMAGING; HISTOLOGY; IMAGE PROCESSING; METHODOLOGY; RAT; REGRESSION ANALYSIS; SIGNAL PROCESSING; SPINAL CORD;

ALGORITHMS; ANIMALS; BRAIN; DIFFUSION TENSOR IMAGING; IMAGE PROCESSING, COMPUTER-ASSISTED; LEAST-SQUARES ANALYSIS; RATS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SPINAL CORD;

EID: 79551605534     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2010.2086464     Document Type: Article

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