Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentation

NeuroImage

Volumn 89, Issue , 2014, Pages 152-164

  Wang, Li ^a   Shi, Feng ^a   Gao, Yaozong ^a,b   Li, Gang ^a   Gilmore, John H ^a   Lin, Weili ^a   Shen, Dinggang ^a,c  

^a UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^b Brooks Computer Science Building   (United States)

^c Korea University   (South Korea)

Author keywords

Anatomical constraint; Infant brain images; Isointense stage; Low contrast; Sparse representation; Tissue segmentation

Indexed keywords

ACCURACY; ALGORITHM; ARTICLE; BRAIN TISSUE; FEMALE; GRAY MATTER; HUMAN; HUMAN EXPERIMENT; IMAGE PROCESSING; INFANT; MALE; NEUROANATOMY; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; WHITE MATTER; ANATOMICAL CONCEPTS; BRAIN MAPPING; CONTROLLED STUDY; IMAGE ANALYSIS; IMAGE NOISE; IMAGE SEGMENTATION; IMAGING AND DISPLAY; MEASUREMENT ACCURACY; MULTIMODAL IMAGING; NEUROIMAGING; NOISE; VALIDATION PROCESS;

ANATOMICAL CONSTRAINT; INFANT BRAIN IMAGES; ISOINTENSE STAGE; LOW CONTRAST; SPARSE REPRESENTATION; TISSUE SEGMENTATION;

BRAIN; DATA INTERPRETATION, STATISTICAL; DIFFUSION TENSOR IMAGING; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INFANT; MALE; NERVE FIBERS, MYELINATED;

EID: 84892862607     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.11.040     Document Type: Article

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