A fast technique for motion correction in DAS 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.
KeywordsControl Point Digital Subtraction Angiography Delaunay Triangulation Gradient Magnitude Subtraction Image
- 6.K.J. Zuiderveld, B.M. ter Haar Romeny & M.A. Viergever. Fast rubber sheet masking for digital subtraction angiography. In Science and Engineering of Medical Imaging, M.A. Viergever (ed.), vol. 1137 of Proceedings of SPIE, The International Society for Optical Engineering, Bellingham, Washington, USA, 1989, pp. 22–30.CrossRefGoogle Scholar
- 8.G.S. Cox & G. de Jager. Automatic registration of temporal image pairs for digital subtraction angiography. In Image Processing, vol. 2167 of Proceedings of SPIE, The International Society for Optical Engineering, Bellingham, Washington, USA, 1994, pp. 188–199.Google Scholar
- 10.T.M. Buzug, J. Weese, C. Fassnacht & C. Lorenz. Image registration: Convex weighting functions for histogram-based similarity measures. In CVRMed-MRCAS ’97, J. Troccaz, E. Grimson & R. Mösges (eds.), vol. 1205 of Lecture Notes in Computer Science, Springer-Verlag, Berlin, Germany, 1997, pp. 203–212.Google Scholar
- 11.T.M. Buzug, J. Weese, C. Lorenz & W. Beil. Histogram-based image registration for digital subtraction angiography. In Image Analysis and Processing (ICIAP ’97), A. Del Bimbo (ed.), vol. 1311 of Lecture Notes in Computer Science, Springer-Verlag, Berlin, Germany, 1997, pp. 380–387.Google Scholar