Bolus dispersion issues related to the quantification of perfusion MRI data

被引:60
作者
Calamante, F [1 ]
机构
[1] UCL, Inst Child Hlth, Radiol & Phys Unit, London, England
基金
英国惠康基金;
关键词
cerebral blood flow; arterial input function; deconvolution; quantification; bolus tracking; perfusion;
D O I
10.1002/jmri.20454
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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.
引用
收藏
页码:718 / 722
页数:5
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