Articulated whole-body atlases for small animal image analysis: construction and applications.

Articulated whole-body atlases for small animal image analysis: construction and applications.
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DOI:
10.1007/s11307-010-0386-x
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发表时间:
2011-10
影响因子:
3.1
通讯作者:
Lelieveldt, Boudewijn P. F.
Lelieveldt, Boudewijn P. F.
中科院分区:
医学3区
文献类型:
--
作者:
Khmelinskii, Artem;Baiker, Martin;Kaijzel, Eric L.;Chen, Josette;Reiber, Johan H. C.;Lelieveldt, Boudewijn P. F.

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利用三个公开可用的小动物图谱(Spraogue-Dawley大鼠、Moby和Digimouse),我们建立了三个关节图谱,并展示了在分子成像领域的几个应用。为每个枢椎骨骼手动分割主要骨骼/骨组。然后,建立了每个图谱的运动学模型:识别每个关节的位置并指定相应的自由度。铰接式地图集能够自动配准到多模式小动物成像数据的公共坐标框架中。这消除了由于形态差异和非标准化采集协议而在不同时间步长中发生的姿势变化(例如,头部、后部和前肢)。在分子成像领域,关节图谱被证明是多模式图像组合、后续研究和图像处理的有用工具。建议的模型已公开提供。
Using three publicly available small-animal atlases (Sprague–Dawley rat, MOBY, and Digimouse), we built three articulated atlases and present several applications in the scope of molecular imaging. Major bones/bone groups were manually segmented for each atlas skeleton. Then, a kinematic model for each atlas was built: each joint position was identified and the corresponding degrees of freedom were specified. The articulated atlases enable automated registration into a common coordinate frame of multimodal small-animal imaging data. This eliminates the postural variability (e.g., of the head, back, and front limbs) that occurs in different time steps and due to modality differences and nonstandardized acquisition protocols. The articulated atlas proves to be a useful tool for multimodality image combination, follow-up studies, and image processing in the scope of molecular imaging. The proposed models were made publicly available.
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