Crump Institute of Molecular Imaging, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
Mol Imaging Biol. 2012 Aug;14(4):408-19. doi: 10.1007/s11307-011-0519-x.
This study investigates methodologies for the estimation of small animal anatomy from non-tomographic modalities, such as planar X-ray projections, optical cameras, and surface scanners. The key goal is to register a digital mouse atlas to a combination of non-tomographic modalities, in order to provide organ-level anatomical references of small animals in 3D.
A 2D/3D registration method was developed to register the 3D atlas to the combination of non-tomographic imaging modalities. Eleven combinations of three non-tomographic imaging modalities were simulated, and the registration accuracy of each combination was evaluated.
Comparing the 11 combinations, the top-view X-ray projection combined with the side-view optical camera yielded the best overall registration accuracy of all organs. The use of a surface scanner improved the registration accuracy of skin, spleen, and kidneys.
The methodologies and evaluation presented in this study should provide helpful information for designing preclinical atlas-based anatomical data acquisition systems.
本研究旨在探讨从非层析模态（如平面 X 射线投影、光学相机和表面扫描仪）估算小动物解剖结构的方法。主要目标是将数字鼠图谱配准到非层析模态组合中，以便在 3D 中提供小动物的器官水平解剖参考。
开发了一种 2D/3D 配准方法，将 3D 图谱配准到非层析成像模态组合中。模拟了三种非层析成像模态的十一种组合，并评估了每种组合的配准精度。
比较这十一种组合，顶视图 X 射线投影与侧视图光学相机的组合产生了所有器官的最佳整体配准精度。使用表面扫描仪提高了皮肤、脾脏和肾脏的配准精度。
本研究中提出的方法和评估结果应可为设计基于临床前图谱的解剖数据采集系统提供有用信息。
