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Abstract #2277

Local Arterial Input Fucntions in DCE-MRI

Jacob U. Fluckiger1, Matthias C. Schabel1, Edward VR DiBella1

1University of Utah, Salt Lake City, UT, USA

We have developed blind deconvolution algorithms for estimating the AIF directly from DCE-MRI tissue curves. The input functions estimated from tissue curves are delayed and dispersed as compared to those measured directly from the vasculature. Other papers have shown that the AIF changes spatially in the brain, and that locally measured AIFs may provide better parameter estimates. This work attempts to track changes in locally estimated AIF in other regions of the body to support the hypothesis that CA delivery to diseased tissues is more dispersed than that measured in the arteries.