Multispectral MR images segmentation based on fuzzy knowledge and modified seeded region growing

Magnetic Resonance Imaging

Volumn 30, Issue 2, 2012, Pages 230-246

  Lin, Geng Cheng ^a   Wang, Wen June ^a   Kang, Chung Chia ^b   Wang, Chuin Mu ^c  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

^b INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE   (Taiwan)

^c NATIONAL CHIN YI UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

Classification; Magnetic resonance imaging (MRI); Multispectral; Seeded region growing (SRG); Segmentation

Indexed keywords

ARTICLE; AUTOANALYSIS; COMPUTER ANALYSIS; COMPUTER ASSISTED RADIOGRAPHY; CONTROLLED STUDY; EXPERIMENTAL STUDY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUZZY KNOWLEDGE BASED SEEDED REGION GROWING; FUZZY SYSTEM; IMAGE PROCESSING; IMAGE QUALITY; INTERMETHOD COMPARISON; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PHANTOM; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE;

ALGORITHMS; BRAIN; FUZZY LOGIC; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; PHANTOMS, IMAGING; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84855473998     PISSN: 0730725X     EISSN: 18735894     Source Type: Journal    
DOI: 10.1016/j.mri.2011.09.008     Document Type: Article

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