Anindya Sen1, Sameer Maheshwari1, Jessy J. Mouannes2, Chris Eddleman3, Sven Zuehlsdorff4, Saurabh Shah4, Timothy J. Carroll1,2
1Radiology, Northwestern University, Chicago, IL, United States; 2Biomedical Engineering, Northwestern University, Chicago, IL, United States; 3Neurological Surgery, Northwestern University; 4CMR Research and Development, Siemens Healthcare, Chicago, IL, United States
The American Heart Association has deemed the quantification of cerebral perfusion in stroke to be of paramount importance. Hence accurate automated determination of perfusion image maps are essential for analyzing the tissue of risk after an ischemic stroke event. The need for offline post-processing of Dynamic Susceotibility Contrast (DSC) images can delay the availability of time critical information (i.e. the extent of the perfusion diffusion mismatch predicts the response to intra venous thrombolysis in ischemic stroke) Therefore we have developed a inline protocol to eliminate the offline generation of quantitative perfusion maps with evaluation.