Birgitte Fuglsang Kjlby1, Sren Christensen2, Irene Klrke Mikkelsen1, Kim Mouriden1, Peter Gall3, Valerij G. Kiselev3, Leif stergaard1
1CFIN, Department of Neuroradiology, Aarhus University Hospital, Aarhus, Denmark; 2Department of Neurology and Radiology, University of Melbourne, Melbourne, Australia; 3Department of Diagnostic Radiology, Medical Physics, University Hospital Freiburg, Freiburg, Germany
Perfusion DSC-MRI is becoming increasingly important in the study of neurological diseases, in particular acute stroke. Perfusion estimates are compared and studied to establish a perfusion threshold that may guide the selection of patients for thrombolysis. Therefore perfusion measurements must be optimized to detect and distinguish subtle levels of hypoperfusion. The precision and accuracy of derived perfusion values rely critically on the noise regularization used in the deconvolution process. We compare existing methods with a new method optimized for precision and show that it improves CBF differentiation in hypoperfused tissues both in individuals and in group studies.