Improved EM-based tissue segmentation and partial volume effect quantification in multi-sequence brain MRI

Lecture Notes in Computer Science

Volumn 3216, Issue PART 1, 2004, Pages 26-33

  Dugas Phocion, Guillaume ^a   González Ballester, Miguel Angel ^a   Malandain, Grégoire ^a   Lebrun, Christine ^b   Ayache, Nicholas ^a  

^a INRIA   (France)

^b PASTEUR HOSPITAL   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BRAIN; DIAGNOSIS; GAUSSIAN NOISE (ELECTRONIC); MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; MAXIMUM PRINCIPLE; NEUROLOGY; PATHOLOGY; TISSUE; GAUSSIAN DISTRIBUTION; IMAGE SEGMENTATION; MEDICAL IMAGING; POSITRON EMISSION TOMOGRAPHY;

BRAIN TISSUES; CEREBRO-SPINAL FLUID (CSF); TISSUE SEGMENTATION; WHITE MATTER; BRAIN TISSUE SEGMENTATIONS; CEREBRO SPINAL FLUIDS; EXPECTATION-MAXIMIZATION ALGORITHMS; GAUSSIAN MIXTURE MODEL; GAUSSIAN NOISE MODEL; PARTIAL VOLUME EFFECT; SEGMENTATION RESULTS; TISSUE CLASSIFICATION;

IMAGE SEGMENTATION; CEREBROSPINAL FLUID;

EID: 20344379177     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30135-6_4     Document Type: Conference Paper

References (9)

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