A Novel Image Similarity Measure for Registration of 3-D MR Images and X-Ray Projection Images
A Novel Image Similarity Measure for Registration of 3-D MR Images and X-Ray Projection Images
复制标题
用于 3D MR 图像和 X 射线投影图像配准的新颖图像相似性测量
DOI：
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发表时间：
2002
期刊：
影响因子：
--
通讯作者：
C. Maurer
中科院分区：
文献类型：
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作者：
T. Rohlfing;C. Maurer
用于将三维断层摄影图像配准到二维投影图像的大多数现有方法使用模拟投影图像以及基于强度或基于特征的图像相似性度量。本文提出了一种新的基于概率的相似性度量。我们计算强度分布沿着模拟射线通过3-D图像，而不是射线总和。使用有限状态机，我们从3-D图像中消除背景体素，同时保留来自空气填充腔和作为成像对象的一部分的其他低强度区域（例如，MRI中的骨）。借助于诸如（归一化的）互信息之类的基于直方图的相似性度量的概率扩展，将所得到的沿所有射线的沿着组织分布与真实的投影图像的对应像素强度进行比较。因为我们的方法不计算射线和，它的应用程序，不像基于DR的方法，不限于X射线CT图像。在本文中，我们展示了我们的相似性度量的能力，成功地确定了正确的位置的MR图像相对于一组正交DRR计算从一个共同注册的CT图像。在初步评估中，我们证明了我们的相似性度量的捕获范围约为40 mm，精度约为4 mm。
Most existing methods for registration of three-dimensional tomographic images to two-dimensional projection images use simulated projection images and either intensity-based or feature-based image similarity measures. This paper suggests a novel class of similarity measures based on probabilities. We compute intensity distributions along simulated rays through the 3-D image rather than ray sums. Using a finite state machine, we eliminate background voxels from the 3-D image while preserving voxels from air filled cavities and other low-intensity regions that are part of the imaged object (e.g., bone in MRI). The resulting tissue distributions along all rays are compared to the corresponding pixel intensities of the real projection image by means of a probabilistic extension of histogram-based similarity measures such as (normalized) mutual information. Because our method does not compute ray sums, its application, unlike DRR-based methods, is not limited to X-ray CT images. In the present paper, we show the ability of our similarity measure to successfully identify the correct position of an MR image with respect to a set of orthogonal DRRs computed from a co-registered CT image. In an initial evaluation, we demonstrate that the capture range of our similarity measure is approximately 40mm with an accuracy of approximately 4 mm.
功能和解剖 MRI 的配准：准确性评估及其在导航神经外科手术中的应用。
DOI：
10.1002/igs.1003
发表时间：
2000
期刊：
Computer aided surgery : official journal of the International Society for Computer Aided Surgery.
影响因子：
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作者：
Rohlfing,T;West,JB;Beier,J;Liebig,T;Taschner,CA;Thomale,UW
通讯作者：
Thomale,UW
影响因子：
1.3
作者：
West, J;Fitzpatrick, JM;Woods, RP
通讯作者：
Woods, RP
DOI：
10.1002/1097-0150(2000)5:4
发表时间：
2000-01-01
期刊：
Computer aided surgery : official journal of the International Society for Computer Aided Surgery
影响因子：
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作者：
Murphy, M J;Adler, J R Jr;Poen, J
通讯作者：
Poen, J