Meeting Banner
Abstract #4119

Comparison of Four Techniques That Directly Use Residue Function Characteristics When Estimating Cerebral Blood Flow During DSC MRI Studies

Michael R. Smith1,2, Juan Qiao1, Marina Saluzzi1,3, Richard Frayne, 1,3

1Electrical and Computer Engineering, University of Calgary, Calgary, Alberta, Canada; 2Radiology, University of Calgary, Calgary, Alberta, Canada; 3Seaman Family MR Research Centre, Foothills Hospital, Calgary, Alberta, Canada

Current filtering techniques used in dynamic susceptibility contrast (DSC) studies to remove deconvolution noise are based on characteristics of the arterial signal Ca (t) and lead to CBF maps that decrease in accuracy as the tissue mean transit time (MTT) gets smaller. Our hypothesis is that greater CBF accuracy and CBF precision can be achieved by using techniques based on characteristics of the residue function; either in the time domain R(t) or in the frequency domain R(f). Of the four techniques investigated, one approach shows the most promise. This technique uses multiple points along the tissue residue function in time and frequency domains to obtain MTT estimates, and then derives CBF using CBF = CBV / MTT where CBV is the cerebral blood volume.