Automated brain tissue segmentation based on fractional signal mapping from inversion recovery Look-Locker acquisition

NeuroImage

Volumn 52, Issue 4, 2010, Pages 1347-1354

  Shin, Wanyong ^a   Geng, Xiujuan ^a   Gu, Hong ^a   Zhan, Wang ^b   Zou, Qihong ^a   Yang, Yihong ^a  

^a NATIONAL INSTITUTE ON DRUG ABUSE   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Automated segmentation; Brain tissue; Fast T1 mapping; Fractional volume; Magnetic resonance imaging; Partial volume effect

Indexed keywords

ADULT; ARTICLE; AUTOMATION; BRAIN MAPPING; BRAIN SIZE; BRAIN TISSUE; CEREBROSPINAL FLUID; CONTROLLED STUDY; FEASIBILITY STUDY; FEMALE; FRACTIONAL ANISOTROPY; GRAY MATTER; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; IMAGE PROCESSING; MALE; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SIMULATION; TISSUE TYPES; WHITE MATTER;

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

EID: 77954953105     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2010.05.001     Document Type: Article

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