Exploiting magnetic resonance angiography imaging improves model estimation of BOLD signal

PLoS ONE

Volumn 7, Issue 2, 2012, Pages

  Hu, Zhenghui ^a   Liu, Cong ^a   Shi, Pengcheng ^b,c   Liu, Huafeng ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b Rochester Institute of Technology   (United States)

^c UNIVERSITY OF ROCHESTER MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BOLD SIGNAL; BRAIN BLOOD FLOW; BRAIN CORTEX; CALIBRATION; CONTROLLED STUDY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; IMAGE RECONSTRUCTION; INFORMATION PROCESSING; MAGNETIC RESONANCE ANGIOGRAPHY; NORMAL HUMAN; RELIABILITY; ALGORITHM; ANGIOGRAPHY; BLOOD; HEMODYNAMICS; IMAGE PROCESSING; METHODOLOGY; NONLINEAR SYSTEM; NUCLEAR MAGNETIC RESONANCE IMAGING; REGRESSION ANALYSIS; REPRODUCIBILITY; SIGNAL PROCESSING; STATISTICAL MODEL;

OXYGEN;

ALGORITHMS; ANGIOGRAPHY; CALIBRATION; HEMODYNAMICS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE ANGIOGRAPHY; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; NONLINEAR DYNAMICS; OXYGEN; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84863145019     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0031612     Document Type: Article

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