Abstract
Biplane projection imaging is one of the primary methods for imaging and visualizing the cardiovascular system in medicine. A key problem in such a technique is to determine the imaging geometry (i.e., the relative rotation and translation) of two projections so that the 3-D structure can be accurately reconstructed. Based on interesting observations and efficient geometric techniques, we present in this paper new algorithmic solutions for this problem. Comparing with existing optimization-based approaches, our techniques yield better accuracy and have bounded execution time, thus is more suitable for on-line applications. Our techniques can easily detect outliers to further improve the accuracy.
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This research was supported in part by NIH under USPHS grant numbers HL52567.
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Xu, J., Xu, G., Chen, Z. et al. Efficient Algorithms for Determining 3-D Bi-Plane Imaging Geometry. J Comb Optim 10, 113–132 (2005). https://doi.org/10.1007/s10878-005-2266-x
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DOI: https://doi.org/10.1007/s10878-005-2266-x