Can we assess brain perfusion even when DSA images are contaminated by motion artifacts?
Efforts have been made to perform quantitative perfusion assessment in interventional suites. It is a challenging goal, as there is no equipment for tomography such as x-ray computed tomography (CT) in the room. We develop a method called IPEN for intra-intervention perfusion assessment using a standard x-ray system with no gantry rotation. We have shown that the IPEN can provide quantitatively accurate perfusion indices using x-ray angiography images. Recently we have shown that a modified IPEN algorithm called MCI-N can compensate for patient head motion. The MCI-N stands for motion-compensated IPEN using native (un-subtracted) angiography images, and apparently needs un-subtracted angiography images. In most clinic, angiography systems save digital subtraction angiography (DSA) images only, and discard un-subtracted angiography images. Thus, MCI-N is not applicable to DSA data archived in the hospital system. In this work, we develop a method called MCI-D in order to compensate for the effect of patient motion using DSA images with motion artifacts.
