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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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