Document Detail


Deconvolution with simple extrapolation for improved cerebral blood flow measurement in dynamic susceptibility contrast magnetic resonance imaging during acute ischemic stroke.
MedLine Citation:
PMID:  21546188     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Magnetic resonance (MR) perfusion imaging is a clinical technique for measuring brain blood flow parameters during stroke and other ischemic events. Ischemia in brain tissue can be difficult to accurately measure or visualize when using MR-derived cerebral blood flow (CBF) maps. The deconvolution techniques used to estimate flow can introduce a mean transit time-dependent bias following application of noise stabilization techniques. The underestimation of the CBF values, greatest in normal tissues, causes a decrease in the image contrast observed in CBF maps between normally perfused and ischemic tissues; resulting in ischemic areas becoming less conspicuous. Through application of the proposed simple extrapolation technique, CBF biases are reduced when missing high-frequency signal components in the MR data removed during deconvolution noise stabilization are restored. The extrapolation approach was compared with other methods and showed a statistically significant increase in image contrast in CBF maps between normal and ischemic tissues for white matter (P<.05) and performed better than most other methods for gray matter. Receiver operator characteristic curve analysis demonstrated that extrapolated CBF maps better-detected penumbral regions. Extrapolated CBF maps provided more accurate CBF estimates in simulations, suggesting that the approach may provide a better prediction of outcome in the absence of treatment.
Authors:
Matthew Ethan Macdonald; Michael Richard Smith; Richard Frayne
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-5-3
Journal Detail:
Title:  Magnetic resonance imaging     Volume:  -     ISSN:  1873-5894     ISO Abbreviation:  -     Publication Date:  2011 May 
Date Detail:
Created Date:  2011-5-6     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8214883     Medline TA:  Magn Reson Imaging     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2011 Elsevier Inc. All rights reserved.
Affiliation:
Biomedical Engineering, University of Calgary, Alberta, Canada T2N 1N4; Electrical and Computer Engineering, University of Calgary, Alberta, Canada T2N 1N4; Hotchkiss Brain Institute, University of Calgary, Alberta, Canada T2N 2T9; Seaman Family MR Research Centre, Foothills Medical Centre, Alberta Health Services, Calgary, Alberta, Canada T2N 2T9.
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