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基于脑部高分辨率磁共振成像的图像配准技术的定量比较。

Quantitative comparisons of image registration techniques based on high-resolution MRI of the brain.

作者信息

Strother S C, Anderson J R, Xu X L, Liow J S, Bonar D C, Rottenberg D A

机构信息

PET Imaging Service, VA Medical Center, Minneapolis, MN 55417.

出版信息

J Comput Assist Tomogr. 1994 Nov-Dec;18(6):954-62. doi: 10.1097/00004728-199411000-00021.

Abstract

OBJECTIVE

A variety of methods for matching intrasubject MRI-MRI, PET-PET, or MRI-PET image pairs have been proposed. Based on the rigid body transformations needed to align pairs of high-resolution MRI scans and/or simulated PET scans (derived from these MRI scans), we obtained general comparisons of four intrasubject image registration techniques: Talairach coordinates, head and hat, equivalent internal points, and ratio image uniformity. In addition, we obtained a comparison of stereotaxic Z frames with a customized head mold for MRI-MRI image pairs.

MATERIALS AND METHODS AND RESULTS

Each technique was quantitatively evaluated using the mean and maximum voxel registration errors for matched voxel pairs within the brain volumes being registered.

CONCLUSION

We conclude that fiducial markers such as stereotaxic Z frames that are not rigidly fixed to a patient's skull are inaccurate compared with other registration techniques, Talairach coordinate transformations provide surprisingly good registration, and minimizing the variance of MRI-MRI, PET-PET, or MRI-PET ratio images provides significantly better registration than all other techniques tested. Registration optimization based on measurement of the similarity of spatial distributions of voxel values is superior to techniques that do not use such information.

摘要

目的

已经提出了多种用于匹配个体内MRI-MRI、PET-PET或MRI-PET图像对的方法。基于对齐高分辨率MRI扫描对和/或模拟PET扫描(从这些MRI扫描得出)所需的刚体变换,我们对四种个体内图像配准技术进行了综合比较:Talairach坐标、头部与帽状结构、等效内部点和比率图像均匀性。此外,我们还对用于MRI-MRI图像对的立体定向Z框架与定制头部模具进行了比较。

材料与方法及结果

使用正在配准的脑体积内匹配体素对的平均和最大体素配准误差对每种技术进行了定量评估。

结论

我们得出结论,与其他配准技术相比,诸如未牢固固定在患者颅骨上的立体定向Z框架等基准标记不准确;Talairach坐标变换提供了出奇好的配准效果;使MRI-MRI、PET-PET或MRI-PET比率图像的方差最小化比所有其他测试技术提供了明显更好的配准效果。基于体素值空间分布相似性测量的配准优化优于不使用此类信息的技术。

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