A Fast Technique for Motion Correction in DSA Using a Feature-Based, Irregular Grid

In clinical practice, Digital Subtraction Angiography (DSA) is a powerful technique for the visualization of blood vessels in the human body. However, due to patient motion the diagnostic relevance of the images is often reduced by the introduction of artifacts. In this paper, we propose a new approach to the registration of DSA images, which is both effective, and very fast. The computational speed of our algorithm is achieved by applying a gradient based control point selection mechanism, which allows for a more efficient positioning of a reduced number of control points as compared to approaches based on regular grids. The results of preliminary experiments with several clinical data sets clearly show the applicability of the algorithm.

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