Bora Buyuksarac1, Mehmed Ozkan1
In perfusion weighted images, the anatomic locations of the arteries are not clearly visible. The conventional arterial input function selection technique is to locate a region on a perfusion image that is supposed to include an artery and select the pixels of which time curves meet the criteria of steepness, narrowness and high signal intensity change. In this study, we alternatively employ MR angiography (MRA) images for more accurate results in localizing the arteries. With this method we achieve automated multiple AIF selection, through which regional CBF images on various brain slices are calculated.