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Reduced resolution transit delay prescan for quantitative continuous arterial spin labeling perfusion imaging
Author(s) -
Dai Weiying,
Robson Philip M,
Shankaranarayanan Ajit,
Alsop David C.
Publication year - 2012
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.23103
Subject(s) - perfusion , image resolution , arterial spin labeling , temporal resolution , transit time , transit (satellite) , sensitivity (control systems) , computer science , mean transit time , signal (programming language) , biomedical engineering , perfusion scanning , nuclear medicine , physics , medicine , artificial intelligence , radiology , optics , electronic engineering , engineering , public transport , transport engineering , programming language
Abstract Arterial spin labeling perfusion MRI can suffer from artifacts and quantification errors when the time delay between labeling and arrival of labeled blood in the tissue is uncertain. This transit delay is particularly uncertain in broad clinical populations, where reduced or collateral flow may occur. Measurement of transit delay by acquisition of the arterial spin labeling signal at many different time delays typically extends the imaging time and degrades the sensitivity of the resulting perfusion images. Acquisition of transit delay maps at the same spatial resolution as perfusion images may not be necessary, however, because transit delay maps tend to contain little high spatial resolution information. Here, we propose the use of a reduced spatial resolution arterial spin labeling prescan for the rapid measurement of transit delay. Approaches to using the derived transit delay information to optimize and quantify higher resolution continuous arterial spin labeling perfusion images are described. Results in normal volunteers demonstrate heterogeneity of transit delay across different brain regions that lead to quantification errors without the transit maps and demonstrate the feasibility of this approach to perfusion and transit delay quantification. Magn Reson Med, 2012. © 2011 Wiley Periodicals, Inc.