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.
Keywords