Abstract
We present a method of 3D/2D image registration. The algorithm is based on the property of near projective invariance in tubular objects. The skeletons of tubular anatomical structures (e.g., intracerebral blood vessels) are used as registration primitives. Experiments with Magnetic Resonance Angiogram (MRA) patient studies and both simulated and actual X-ray angiograms suggest that the algorithm is very accurate and robust. The algorithm requires only a small number of primitives. In addition, the algorithm is relatively insensitive to the choice of tubular structures used. Experimental results justifying these claims are included.
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© 1998 Springer-Verlag Berlin Heidelberg
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Liu, A., Bullitt, E., Pizer, S.M. (1998). 3D/2D registration via skeletal near projective invariance in tubular objects. 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/BFb0056284
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DOI: https://doi.org/10.1007/BFb0056284
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Keywords
- Projective Invariance
- Registration Algorithm
- Registration Accuracy
- Magnetic Resonance Angiogram
- Manual Registration
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.