Sparse Riemannian manifold clustering for HARDI segmentation

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2011, Pages 1750-1753

  Çetingul, H Ertan ^a   Vidal, René ^a  

^a Johns Hopkins University   (United States)

Author keywords

compressed sensing; diffusion magnetic resonance imaging; graph theory; harmonic analysis; image segmentation

Indexed keywords

CLUSTERING PROBLEMS; COMPRESSED SENSING; DIFFUSION MAGNETIC RESONANCE IMAGING; FIBER BUNDLES; GRAPH-THEORETIC; HIGH ANGULAR RESOLUTIONS; ORIENTATION DISTRIBUTION FUNCTION; RIEMANNIAN MANIFOLD; SIMILARITY MATRIX; SPARSE REPRESENTATION; SPECTRAL CLUSTERING; SUBMANIFOLDS; WHITE MATTER FIBERS;

BRAIN; CLUSTER ANALYSIS; DISTRIBUTION FUNCTIONS; GRAPH THEORY; HARMONIC ANALYSIS; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; RESONANCE;

IMAGE SEGMENTATION;

EID: 80055059614     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2011.5872744     Document Type: Conference Paper

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