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用于确定三维双平面成像几何结构的高效算法

Efficient Algorithms for Determining 3-D Bi-Plane Imaging Geometry.

作者信息

Xu Jinhui, Xu Guang, Chen Zhenming, Singh Vikas, Hoffmann Kenneth R

机构信息

Department of Computer Science and Engineering, State University of New York at Buffalo, 201 Bell Hall, Buffalo, NY 14260, USA,

出版信息

J Comb Optim. 2005 Sep;10(2):113-132. doi: 10.1007/s10878-005-2266-x.

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.

摘要

双平面投影成像是医学中对心血管系统进行成像和可视化的主要方法之一。这种技术中的一个关键问题是确定两个投影的成像几何结构(即相对旋转和平移),以便能够准确重建感兴趣的三维结构。基于有趣的观察结果和高效的几何技术,我们在本文中提出了针对这个问题的新算法解决方案。与现有的基于优化的方法相比,我们的技术具有更高的精度、有界的执行时间,因此更适合在线应用。我们的技术可以轻松检测异常值以进一步提高精度。

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