Estimation of a PET AIF using DSC MRI
John Lee 1 , Colin Derdeyn 1 , and Joshua Shimony 1
Washington University School of Medicine,
Saint Louis, MO, United States
Bayesian modeling and parameter estimation predict
arterial input functions for H
PET using information from whole-brain PET tracer
inflows and DSC MRI. Validation of normalized arterial
input functions was achieved in 18 patients with
clinically significant cerebrovascular disease. The
approach may be a useful adjunct to perfusion studies on
the new generation of PET/MRI scanners.
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