Abstract #3524
Bayesian Estimation of Cerebral Perfusion Using a Reduced Contrast-dose Dynamic Susceptibility Contrast Perfusion at 3.0T
Kambiz Nael 1 , Bijan Mossadeghi 1 , Rihan Khan 1 , Arash Meshksar 1 , Wayne Kubal 1 , Benjamin Ellingson 2 , and Pablo J Villablanca 2
1
Medical Imaging, University of Arizona,
Tucson, AZ, United States,
2
Radiological
Sciences, UCLA, Los Angeles, CA, United States
A reduced contrast-dose brain DSC perfusion can be
useful for implementation in combined multi injection
protocols, where the contrast dose is a limiting factor.
Deconvolution, routinely used for DSC analysis, is an
ill-posed problem where small changes in the data (the
concentration time curve) may dramatically influence the
response (residue function). Reducing the contrast dose
and resultant higher noise (low SNR) can further
accentuate this limitation. Bayesian probabilistic
method, whichis less sensitive to low SNR and is now
commercially available, is promising for estimation of
cerebral perfusion in reduced contrast-dose protocol
with comparable quantitative results to full-dose
protocol.
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