Three-dimensional reconstruction of curves from pairs of projection views in the presence of error. II. Analysis of error.

Three-dimensional reconstruction of curves from pairs of projection views in the presence of error. II. Analysis of error.
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在存在误差的情况下,根据成对的投影视图对曲线进行三维重建。

DOI:
10.1118/1.597954
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发表时间:
1997
期刊:
影响因子:
3.8
通讯作者:
Pizer,SM
Pizer,SM
中科院分区:
医学3区
文献类型:
--
作者:
Bullitt,E;Liu,A;Pizer,SM

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我们之前已经描述了一种使用MRA作为重建基础的3D颅内血管重建方法。通过分割投影血管图的2D曲线,并在MRA的基础上将这些曲线重建为3D,可以添加只能通过血管造影看到的其他血管。本文是讨论在存在误差的情况下从给定的一对二维曲线重建三维曲线的具体问题的第二篇论文。所提出的方法能够检测和处理由二维曲线的配准错误、图像失真或定义错误引起的许多错误。第一篇论文给出了一个算法。本文讨论了影响重建曲线精度的因素,重点讨论了配准误差。我们从像素大小、相对视角、三维点位置和配准误差之间的关系来分析重建点的空间精度。我们提供了一个理论框架,在给定配准算法的已知误差属性的情况下,允许对观测几何形状进行优化,从而产生最高精度的点重建。一个主要的焦点是配准误差对曲线重建的影响。我们将配准误差细分为两种类型,一种是产生平滑连续点放置误差,另一种是产生像素配对误差。我们测试了在两者都存在的情况下重建3D曲线的能力。最后,我们总结了处理其他误差来源的方法。最后,我们提出了一系列优化重建精度的建议。当投影点由极面几何规则关联时,视场点沿垂直于极面轴线的位移不应超过1.5-2 mm。
We have previously described an approach to 3D intracerebral vascular reconstruction that uses an MRA as a reconstruction base. Additional vessels seen only by angiography are added by segmenting 2D curves from projection angiograms and reconstructing these curves into 3D, building upon the MRA. This paper is the second of two that discuss the specific problem of reconstructing a 3D curve from a given pair of 2D curves in the presence of error. The method presented is capable of detecting and handling many errors produced by misregistration, image distortion, or misdefinition of 2D curves. The first paper gives an algorithm. The current paper discusses factors affecting the accuracy of a reconstructed curve, with emphasis upon registration error. We analyze the spatial accuracy of a reconstructed point in terms of the relationships between pixel size, relative viewing angle, 3D point location, and registration error. We provide a theoretical framework that, given the known error properties of a registration algorithm, allows optimization of the viewing geometry so as to produce the highest precision of point reconstruction. A major focus is the effect of registration error upon the reconstruction of a curve. We subdivide registration error into two types, one of which produces smoothly continuous point placement errors and the other of which produces pixel pairing errors. We test our ability to reconstruct a 3D curve in the presence of both. Finally, we summarize approaches to other sources of error. We conclude with a list of recommendations to optimize reconstruction accuracy. When projection points are associated by the rules of epipolar geometry, viewplane point displacements should not exceed 1.5–2 mm along the axis perpendicular to epipolar planes.
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在存在误差的情况下,根据成对的投影视图对曲线进行三维重建。
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