Abstract #1532

Salluzzi M, Frayne R, Smith M, Ko L

We re-examine the impact of dispersion upon the accuracy of quantitative cerebral blood flow (CBF) measurements by using a tracer-delay-insensitive singular value decomposition deconvolution algorithm. We demonstrate that under most circumstances dispersion will lead to the anticipated under-estimation of the perfusion level; with the level of under-estimation dependent on the dispersion model chosen. However we explain why dispersion can give rise to enhanced, rather than depressed, CBF estimates under conditions that can arise in the infarcted brain (arterial-tissue-delay < 0 s).