Please use this identifier to cite or link to this item: http://ahro.austin.org.au/austinjspui/handle/1/19256
Title: Analysis of perfusion MRI in stroke: To deconvolve, or not to deconvolve.
Authors: Meijs, Midas;Christensen, Soren;Lansberg, Maarten G;Albers, Gregory W;Calamante, Fernando
Affiliation: Eindhoven University of Technology, Eindhoven, The Netherlands
Department of Medicine, Austin Health, The University of Melbourne, Heidelberg, Victoria, Australia
The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia
Department of Medicine, Northern Health, University of Melbourne, Melbourne, Australia
Stanford Stroke Center, Stanford University School of Medicine, Stanford, California, USA
The Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia
Issue Date: Oct-2016
EDate: 2015-10-31
Citation: Magnetic resonance in medicine 2016; 76(4): 1282-90
Abstract: There is currently controversy regarding the benefits of deconvolution-based parameters in stroke imaging, with studies suggesting a similar infarct prediction using summary parameters. We investigate here the performance of deconvolution-based parameters and summary parameters for dynamic-susceptibility contrast (DSC) MRI analysis, with particular emphasis on precision. Numerical simulations were used to assess the contribution of noise and arterial input function (AIF) variability to measurement precision. A realistic AIF range was defined based on in vivo data from an acute stroke clinical study. The simulated tissue curves were analyzed using two popular singular value decomposition (SVD) based algorithms, as well as using summary parameters. SVD-based deconvolution methods were found to considerably reduce the AIF-dependency, but a residual AIF bias remained on the calculated parameters. Summary parameters, in turn, show a lower sensitivity to noise. The residual AIF-dependency for deconvolution methods and the large AIF-sensitivity of summary parameters was greatly reduced when normalizing them relative to normal tissue. Consistent with recent studies suggesting high performance of summary parameters in infarct prediction, our results suggest that DSC-MRI analysis using properly normalized summary parameters may have advantages in terms of lower noise and AIF-sensitivity as compared to commonly used deconvolution methods. Magn Reson Med 76:1282-1290, 2016. © 2015 Wiley Periodicals, Inc.
URI: http://ahro.austin.org.au/austinjspui/handle/1/19256
DOI: 10.1002/mrm.26024
ORCID: 0000-0002-7550-3142
PubMed URL: 26519871
Type: Evaluation Studies
Journal Article
Research Support, Non-U.S. Gov't
Subjects: arterial input function
deconvolution
dynamic susceptibility contrast MRI
perfusion MRI
stroke
Appears in Collections:Journal articles

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