Point Similarity Measures Based on MRF Modeling of Difference Images for Spline-Based 2D-3D Rigid Registration of X-Ray Fluoroscopy to CT Images
Point Similarity Measures Based on MRF Modeling of Difference Images for Spline-Based 2D-3D Rigid Registration of X-Ray Fluoroscopy to CT Images
复制标题
基于差值图像 MRF 建模的点相似性测量，用于 X 射线透视与 CT 图像的基于样条的 2D-3D 刚性配准
DOI：
10.1007/11784012_23
复制
发表时间：
2006
期刊：
影响因子：
3.8
通讯作者：
L. Nolte
中科院分区：
文献类型：
--
作者：
Guoyan Zheng;Xuan Zhang;S. Jonić;P. Thévenaz;M. Unser;L. Nolte
影响二维（2D） x射线透视到三维（3D） CT数据的基于强度的配准精度的主要因素之一是相似性度量，相似性度量是在配准过程中用于测量图像匹配质量的标准函数。本文提出了一种统一的框架，基于马尔科夫随机场（Markov random field， MRF）对参考透视图像与其相关的数字重建x线照片（DRR’s）进行对比得到的差异图像进行建模，合理地推导点相似度量。最优解被定义为MRF的最大后验估计值。在此框架下提出了三种新的点相似度度量方法。他们使用一个幻影和人类尸体标本进行评估。将任何一种新提出的相似性度量与先前引入的基于样条的配准方案相结合，我们开发了一种快速准确的配准算法。我们报告它们的捕获范围，收敛速度和定位精度。
One of the main factors that affect the accuracy of intensity-based registration of two-dimensional (2D) X-ray fluoroscopy to three-dimensional (3D) CT data is the similarity measure, which is a criterion function that is used in the registration procedure for measuring the quality of image match. This paper presents a unifying framework for rationally deriving point similarity measures based on Markov random field (MRF) modeling of difference images which are obtained by comparing the reference fluoroscopic images with their associated digitally reconstructed radiographs (DRR's). The optimal solution is defined as the maximum a posterior (MAP) estimate of the MRF. Three novel point similarity measures derived from this framework are presented. They are evaluated using a phantom and a human cadaveric specimen. Combining any one of the newly proposed similarity measures with a previously introduced spline-based registration scheme, we develop a fast and accurate registration algorithm. We report their capture ranges, converging speeds, and registration accuracies.