title: Efficient Algorithms for Determining 3-D Bi-Plane Imaging Geometry.
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 interested 3-D structures 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, have bounded execution time, and thus are more suitable for on-line applications. Our techniques can easily detect outliers to further improve the accuracy.
authors.affiliation: Department of Computer Science and Engineering, State University of New York at Buffalo, 201 Bell Hall, Buffalo, NY 14260, USA,  jinhui@cse.buffalo.edu, guangxu@cse.buffalo.edu, zchen4@cse.buffalo.edu, vsingh@cse.buffalo.edu.
authors.forename: Jinhui
authors.initials: J
authors.lastname: Xu
authors.forename: Guang
authors.initials: G
authors.lastname: Xu
authors.forename: Zhenming
authors.initials: Z
authors.lastname: Chen
authors.forename: Vikas
authors.initials: V
authors.lastname: Singh
authors.forename: Kenneth R
authors.initials: KR
authors.lastname: Hoffmann