当前位置: X-MOL 学术J. Comb. Optim. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Efficient Algorithms for Determining 3-D Bi-Plane Imaging Geometry.
Journal of Combinatorial Optimization ( IF 1 ) Pub Date : 2005-09-01 , DOI: 10.1007/s10878-005-2266-x
Jinhui Xu 1 , Guang Xu , Zhenming Chen , Vikas Singh , Kenneth R Hoffmann
Affiliation  

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.

中文翻译:

确定 3-D 双平面成像几何的有效算法。

双平面投影成像是医学中心血管系统成像和可视化的主要方法之一。这种技术的一个关键问题是确定两个投影的成像几何形状(即相对旋转和平移),以便可以准确地重建感​​兴趣的 3-D 结构。基于有趣的观察和有效的几何技术,我们在本文中提出了针对该问题的新算法解决方案。与现有的基于优化的方法相比,我们的技术产生更好的准确性,执行时间有界,因此更适合在线应用程序。我们的技术可以轻松检测异常值以进一步提高准确性。
更新日期:2019-11-01
down
wechat
bug