Automatic segmentation of brain MRI in high-dimensional local and non-local feature space based on sparse representation

Magnetic Resonance Imaging

Volumn 31, Issue 5, 2013, Pages 733-741

  Khalilzadeh, Mohammad Mahdi ^a   Fatemizadeh, Emad ^b   Behnam, Hamid ^c  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

^c IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

Image segmentation; Local and non local reconstruction error; Magnetic resonance image; Sparse representation

Indexed keywords

ACCURACY; ANALYTICAL ERROR; ARTICLE; AUTOMATION; BRAIN; CLUSTER ANALYSIS; COMPUTER SIMULATION; CONTROLLED STUDY; HUMAN; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; IMAGING AND DISPLAY; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSICAL PARAMETERS; PRIORITY JOURNAL; SPARSE REPRESENTATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84877131798     PISSN: 0730725X     EISSN: 18735894     Source Type: Journal    
DOI: 10.1016/j.mri.2012.11.010     Document Type: Article

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