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.