Co-registration of white matter tractographies by adaptive-mean-shift and gaussian mixture modeling

IEEE Transactions on Medical Imaging

Volumn 29, Issue 1, 2010, Pages 132-145

  Zvitia, Orly ^a   Mayer, Arnaldo ^a   Shadmi, Ran ^a   Miron, Shmuel ^b   Greenspan, Hayit K ^a  

^a TEL AVIV UNIVERSITY   (Israel)

^b Sheba Hospital   (Israel)

Author keywords

Brain; Diffusion tensor imaging (DTI); Registration; Tractography

Indexed keywords

AFFINE TRANSFORM; COMPACT SETS; COREGISTRATION; CORRELATION RATIO; DIFFUSION TENSOR; DIFFUSION TENSOR IMAGING; GAUSSIAN MIXTURE MODEL; GAUSSIAN MIXTURE MODELING; HIGH-DIMENSIONAL FEATURE SPACE; INTENSITY-BASED; MEAN SHIFT; MULTIVARIATE GAUSSIAN DISTRIBUTIONS; REGISTRATION; REGISTRATION ALGORITHMS; TRACTOGRAPHY; WHITE MATTER; WHITE-MATTER FIBER TRACTS;

ALGORITHMS; DIFFUSION; FIBERS; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; RESONANCE; THREE DIMENSIONAL;

TENSORS;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BRAIN; CLUSTER ANALYSIS; DIFFUSION TENSOR IMAGING; HISTOLOGY; HUMAN; IMAGE PROCESSING; METHODOLOGY; NORMAL DISTRIBUTION; REPRODUCIBILITY;

ALGORITHMS; BRAIN; CLUSTER ANALYSIS; DIFFUSION TENSOR IMAGING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, NEUROLOGICAL; NORMAL DISTRIBUTION; REPRODUCIBILITY OF RESULTS;

EID: 73849119648     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2009.2029097     Document Type: Article

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