Optimal Gaussian mixture models of tissue intensities in brain MRI of patients with multiple-sclerosis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6357 LNCS, Issue , 2010, Pages 165-173

  Xiao, Yiming ^a   Shah, Mohak ^b,c   Francis, Simon ^a,c   Arnold, Douglas L ^a,c   Arbel, Tal ^b   Collins, D Louis ^a  

^a MCGILL UNIVERSITY   (Canada)

^b MCGILL UNIVERSITY   (Canada)

^c NEURORX RESEARCH   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC SEGMENTATIONS; BRAIN MRI; BRAIN TISSUE; EXPECTATION MAXIMIZATION; GAUSSIAN MIXTURE MODEL; GAUSSIAN MIXTURES; HUMAN BRAIN; INTENSITY DISTRIBUTION; JEFFREYS; MULTI-SPECTRAL; MULTIPLE SCLEROSIS; MULTISPECTRAL IMAGES; UNIMODAL;

BRAIN; BRAIN MODELS; GAUSSIAN DISTRIBUTION; IMAGE SEGMENTATION; LEARNING SYSTEMS; MAGNETIC RESONANCE; MEDICAL IMAGING; OPTIMIZATION; TISSUE;

MAGNETIC RESONANCE IMAGING;

EID: 77958055976     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15948-0_21     Document Type: Conference Paper

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