A discriminative model-constrained em approach to 3D MRI brain tissue classification and intensity non-uniformity correction

Physics in Medicine and Biology

Volumn 56, Issue 11, 2011, Pages 3269-3300

  Wels, Michael ^a,b   Zheng, Yefeng ^b   Huber, Martin ^b   Hornegger, Joachim ^a   Comaniciu, Dorin ^b  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^b SIEMENS AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AFFINE REGISTRATION ALGORITHMS; AUTOMATED METHODS; BAYESIAN FRAMEWORKS; BRAIN SEGMENTATION; BRAIN TISSUE; CEREBRAL SPINAL FLUIDS; CLIQUE POTENTIAL; COMPUTATIONAL TASK; CROSS CORRELATIONS; DICE COEFFICIENT; DISCRIMINATIVE MODELS; EXPECTATION MAXIMIZATION; GRAY MATTER; HAAR-LIKE FEATURES; IMAGE VOXELS; MARKOV RANDOM FIELD; MULTI-SPECTRAL DATA; NONUNIFORMITY; NONUNIFORMITY CORRECTION; OBSERVATION MODEL; QUANTITATIVE EVALUATION; REAL WORLD DATA; SEGMENTATION PROCESS; STATE-OF-THE-ART APPROACH; TISSUE CLASSIFICATION; WHITE MATTER;

ALGORITHMS; ALIGNMENT; BRAIN; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; PARAMETER ESTIMATION; RADIOLOGY; RESONANCE; STRUCTURAL FRAMES; TISSUE; VIRTUAL REALITY;

THREE DIMENSIONAL;

ARTICLE; ARTIFICIAL INTELLIGENCE; BRAIN; BRAIN TUMOR; CHILD; CYTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; THEORETICAL MODEL; THREE DIMENSIONAL IMAGING;

ARTIFICIAL INTELLIGENCE; BRAIN; BRAIN NEOPLASMS; CHILD; HUMANS; IMAGE ENHANCEMENT; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, THEORETICAL; REPRODUCIBILITY OF RESULTS;

EID: 79956136775     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/56/11/007     Document Type: Article

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