Journal
JOURNAL OF MAGNETIC RESONANCE IMAGING
Volume 22, Issue 6, Pages 718-722Publisher
WILEY
DOI: 10.1002/jmri.20454
Keywords
cerebral blood flow; arterial input function; deconvolution; quantification; bolus tracking; perfusion
Funding
- Wellcome Trust Funding Source: Medline
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Quantification of cerebral blood flow (CBF) using dynamic-susceptibility contrast (DSC) MRI relies on the deconvolution of the arterial input function (AIF). The AIF is commonly measured in a major artery (e.g., the middle cerebral artery), and the estimated function is used as a global AIF for the whole slice. However. the presence of bolus delay and dispersion between die artery and the tissue of interest can introduce significant errors in CBF quantification. While several methods have been introduced to minimize or eliminate the effects of bolus delay, the correction of bolus dispersion is more difficult to address because it requires a model for the vascular bed. This article summarizes how this dispersion effect can be incorporated into the model for CBF quantification. and discusses the magnitude of the errors introduced. Furthermore. alternative methods for correcting or minimizing the effects of bolts dispersion in the quantification of CBF are reviewed.
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