Image quality optimization for automatic warping registration in X-ray DSA

X-ray digital subtraction angiography images frequently suffer from misregistration artifacts. Current systems use whole-image registration techniques that can require extensive operator interaction and can be tedious to use. Frequently, patient motion leads to complex artifacts that whole-image registration cannot remove. Available technology makes warping registration feasible. We optimize and test different warping registration algorithms. We also perform an image quality based evaluation of automatic warping registration to investigate its usefulness and feasibility in future DSA software