Abstract
A major problem encountered in Digital Subtraction Angiography (DSA) is misregistration of images due to patient motion. A new technique for removing motion artifacts, based on local similarity detection, geometric image transformation and pixel manipulation, is presented. The designed algorithms for this technique have the capability to register images both globally and locally, even when applied to the worst DSA cases. This new registration method is not only faster, but also results in higher quality images. Moreover, the technique described here works perfectly well for both slow and sudden motions, and presents some very interesting results for coronary applications.
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