@inbook{41683607232446e7b4499d284b499c52,
title = "An efficient algorithm for determining 3-D Bi-plane imaging geometry",
abstract = "Biplane projection imaging is one of the primary methods for imaging and visualizing the cardiovascular systems in medicine. A key problem in such a technique is to determine the imaging geometry (i.e., the 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 a new algorithmic solution for this problem. Comparing with existing optimization-based approaches, our technique yields better accuracy, has bounded execution time, and thus is more suitable for on-line applications. Our technique can easily deal with outliers for further improving the accuracy.",
author = "Jinhui Xu and Guang Xu and Zhenming Chen and Hoffmann, \{Kenneth R.\}",
year = "2004",
doi = "10.1007/978-3-540-24767-8\_29",
language = "English",
isbn = "3540220577",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "277--287",
editor = "Antonio Lagan`a and Gavrilova, \{Marina L.\} and Vipin Kumar and Youngsong Mun and \{Kenneth Tan\}, C.J. and Osvaldo Gervasi",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Germany",
}