A computational framework for ultra-high resolution cortical segmentation at 7 Tesla

NeuroImage

Volumn 93, Issue , 2014, Pages 201-209

  Bazin, Pierre Louis ^a   Weiss, Marcel ^a   Dinse, Juliane ^a   Schäfer, Andreas ^a   Trampel, Robert ^a   Turner, Robert ^a  

^a MAX PLANCK INSTITUTE FOR HUMAN COGNITIVE AND BRAIN SCIENCES   (Germany)

Author keywords

7 Tesla MRI; Ultra high resolution; Whole brain segmentation

Indexed keywords

ALGORITHM; BRAIN CORTEX; IMAGE PROCESSING; IMAGE RECONSTRUCTION; MATHEMATICAL ANALYSIS; MEASUREMENT ACCURACY; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; RELIABILITY; REVIEW; SIMULATION; WHOLE BRAIN SEGMENTATION; ANATOMY AND HISTOLOGY; BRAIN; BRAIN MAPPING; HUMAN; PROCEDURES;

BRAIN; BRAIN MAPPING; CEREBRAL CORTEX; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING;

EID: 84903269600     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.03.077     Document Type: Review

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