Abstract
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.
This work was done in cooperation with Philips Medical Systems, Department of X-Ray Diagnostics/Predevelopment, Best, The Netherlands and was supported by the Netherlands Ministry of Economic Affairs (IOP-project IBV96004).
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Keywords
- Control Point
- Digital Subtraction Angiography
- Delaunay Triangulation
- Gradient Magnitude
- Subtraction Image
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Meijering, E.H.W., Zuiderveld, K.J., Viergever, M.A. (1998). A fast technique for motion correction in DAS using a feature-based, irregular grid. In: Wells, W.M., Colchester, A., Delp, S. (eds) Medical Image Computing and Computer-Assisted Intervention — MICCAI’98. MICCAI 1998. Lecture Notes in Computer Science, vol 1496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0056244
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DOI: https://doi.org/10.1007/BFb0056244
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