Reexamining the quantification of perfusion MRI data in the presence of bolus dispersion.
OBJECTIVE
To determine the true impact of dispersion upon cerebral blood flow (CBF) quantification by removing an algorithm implementation-induced systematic error.


METHODS
The impact of dispersion on the arterial input function (AIF) between measurement and entry into the tissue of interest on CBF estimates was simulated assuming: 1) contralateral circulation flow that introduces a true arterial tissue delay (ATD)-related dispersive component; and 2) the presence of an arterial stenosis that disperses and shifts the AIF peak entering the tissue; increasing the apparent ATD relative to the original AIF.


RESULTS
Previously reported CBF estimates for the stenosis dispersion model were found to be a mixture of true dispersive effects and an algorithm implementation-induced systematic error. The true CBF(MEASURED)/CBF(NO-DISPERSION) ratios for short mean transit times (MTT) (normal) and long MTT (infarcted) tissue were similar for both dispersion models evaluated; this was an unanticipated result. The CBF quantification inaccuracies induced through the dispersion model truly related to ATD were lower than for the local stenosis-based dispersion for small ATD values.


CONCLUSIONS
Correcting the systematic error present in a previous deconvolution study removes the reported ATD-related impact on CBF quantification. The impact of dispersion was smaller than half that reported in previous simulation studies.
Ko
Linda
L
Department of Electrical and Computer Engineering, University of Calgary, Calgary, Alberta, Canada.
Salluzzi
Marina
M
Frayne
Richard
R
Smith
Michael
M
D000465:Algorithms; D001157:Arterial Occlusive Diseases / Q000175:diagnosis; D002539:Cerebral Arterial Diseases / Q000175:diagnosis; D002560:Cerebrovascular Circulation; D003287:Contrast Media; D006801:Humans; D018810:Magnetic Resonance Angiography / Q000379:methods*; D008954:Models, Biological; D013997:Time Factors
D003287:Contrast Media