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Bolus dispersion issues related to the quantification of perfusion MRI data
Author(s) -
Calamante Fernando
Publication year - 2005
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.20454
Subject(s) - cerebral blood flow , deconvolution , bolus (digestion) , dispersion (optics) , perfusion , computer science , medicine , biomedical engineering , radiology , anesthesia , algorithm , physics , optics
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 the 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 bolus dispersion in the quantification of CBF are reviewed. J. Magn. Reson. Imaging 2005. © 2005 Wiley‐Liss, Inc.