| Automated macrovessel artifact correction in dynamic susceptibility contrast magnetic resonance imaging using independent component analysis. | |
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MedLine Citation:
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PMID: 20928868 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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Dynamic susceptibility contrast-MRI is the most commonly used functional MRI-based method for studying changes in cerebral perfusion. However, several studies indicated a systematic overestimation of perfusion parameters compared with other imaging modalities related to the high sensitivity of dynamic susceptibility contrast-MRI for blood flow in large vessels. In this study, we therefore suggest an improved, automated, robust, and efficient method allowing for generating hemodynamic parameter maps where signal influence from large vessels is minimized. Based on independent component analysis, this fully automated approach corrects dynamic susceptibility contrast-MRI data without any user interaction, thus making a clinical applicability possible. The accuracy of the proposed method was tested in 10 patients with cerebrovascular disease. Application of our correction algorithm resulted in a significant reduction of the effect of macrovessel signal on hemodynamic parameters like the cerebral blood flow and the cerebral blood volume compared with uncorrected data. As desired, our method specifically corrected for macrovessel artifacts in cortical grey matter tissue, leaving white matter tissue parameters largely unaffected. This may increase sensitivity and reliability of detecting perfusion abnormalities in patient groups, in particular with regard to stroke and other cerebrovascular disorders. Magn Reson Med, 2011. © 2010 Wiley-Liss, Inc. |
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Authors:
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Gernot Reishofer; Karl Koschutnig; Christian Enzinger; Anja Ischebeck; Stephen Keeling; Rudolf Stollberger; Franz Ebner |
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Publication Detail:
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Type: Journal Article Date: 2010-10-06 |
Journal Detail:
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Title: Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine Volume: 65 ISSN: 1522-2594 ISO Abbreviation: Magn Reson Med Publication Date: 2011 Mar |
Date Detail:
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Created Date: 2011-02-21 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8505245 Medline TA: Magn Reson Med Country: United States |
Other Details:
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Languages: eng Pagination: 848-57 Citation Subset: IM |
Copyright Information:
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Copyright © 2010 Wiley-Liss, Inc. |
Affiliation:
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Division of MR-Physics, Department of Radiology, Medical University of Graz, Graz, Austria. gernot.reishofer@medunigraz.at. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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