A method of 2D/3D registration of a statistical mouse atlas with a planar X-ray projection and an optical photo.
A method of 2D/3D registration of a statistical mouse atlas with a planar X-ray projection and an optical photo.
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DOI：
10.1016/j.media.2013.02.009
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发表时间：
2013-05
影响因子：
10.9
通讯作者：
Chatziioannou, Arion F.
中科院分区：
文献类型：
--
作者：
Wang, Hongkai;Stout, David B.;Chatziioannou, Arion F.
复杂和高通量的全身小动物成像技术的发展已经产生了对改进的图像分析和增加的自动化的需求。将数字小鼠图谱与单个图像配准是自动器官分割和摄取定量的先决条件。本文提出了一种全自动的方法来注册一个统计小鼠图谱与个人科目的基础上，前后的X射线投影和侧光学照片的小鼠剪影。将小鼠图谱训练为基于83个器官分割的显微CT图像的统计形状模型。对于配准，应用分层方法，其首先配准高对比度器官，然后基于配准的高对比度器官估计低对比度器官。为了配准高对比度器官，使用2D配准反投影策略，其基于图谱投影的2D配准来使3D图谱变形。为了验证，使用55个临床前小鼠研究受试者评价了该方法。结果表明，该方法可以补偿动物姿态和器官解剖结构的适度变化。两个不同的度量，Dice系数和平均表面距离，被用来评估主要器官的配准精度。Dice系数从脾脏的0.31±0.16变化到全身的0.88±0.03，平均表面距离从肺的0.54±0.06 mm变化到皮肤的0.85±0.10 mm。将该方法与直接3D变形优化（无2D配准反投影）和单个受试者图谱配准（而不是使用统计图谱）进行比较。比较显示，2D配准反投影策略显著提高了配准精度，并且使用统计小鼠图谱比单一受试者图谱导致更合理的器官形状。该方法还在肩部异种移植肿瘤荷瘤小鼠身上进行了测试，结果表明，除了肺和脾之外，大多数器官的配准准确性不受肩部肿瘤的影响。
The development of sophisticated and high throughput whole body small animal imaging technologies has created a need for improved image analysis and increased automation. The registration of a digital mouse atlas to individual images is a prerequisite for automated organ segmentation and uptake quantification. This paper presents a fully-automatic method for registering a statistical mouse atlas with individual subjects based on an anterior-posterior X-ray projection and a lateral optical photo of the mouse silhouette. The mouse atlas was trained as a statistical shape model based on 83 organ-segmented micro-CT images. For registration, a hierarchical approach is applied which first registers high contrast organs, and then estimates low contrast organs based on the registered high contrast organs. To register the high contrast organs, a 2D-registration-back-projection strategy is used that deforms the 3D atlas based on the 2D registrations of the atlas projections. For validation, this method was evaluated using 55 subjects of preclinical mouse studies. The results showed that this method can compensate for moderate variations of animal postures and organ anatomy. Two different metrics, the Dice coefficient and the average surface distance, were used to assess the registration accuracy of major organs. The Dice coefficients vary from 0.31±0.16 for the spleen to 0.88±0.03 for the whole body, and the average surface distance varies from 0.54±0.06 mm for the lungs to 0.85±0.10 mm for the skin. The method was compared with a direct 3D deformation optimization (without 2D-registration-back-projection) and a single-subject atlas registration (instead of using the statistical atlas). The comparison revealed that the 2D-registration-back-projection strategy significantly improved the registration accuracy, and the use of the statistical mouse atlas led to more plausible organ shapes than the single-subject atlas. This method was also tested with shoulder xenograft tumor-bearing mice, and the results showed that the registration accuracy of most organs was not significantly affected by the presence of shoulder tumors, except for the lungs and the spleen.
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影响因子：
3.1
作者：
Khmelinskii, Artem;Baiker, Martin;Kaijzel, Eric L.;Chen, Josette;Reiber, Johan H. C.;Lelieveldt, Boudewijn P. F.
通讯作者：
Lelieveldt, Boudewijn P. F.
DOI：
10.1007/s11548-009-0390-2
发表时间：
2010-03-01
影响因子：
3
作者：
Dworzak, Jalda;Lamecker, Hans;Zachow, Stefan
通讯作者：
Zachow, Stefan
影响因子：
10.9
作者：
Baiker, Martin;Milles, Julien;Lelieveldt, Boudewijn P. F.
通讯作者：
Lelieveldt, Boudewijn P. F.
影响因子：
3.5
作者：
Chow, PL;Stout, DB;Chatziioannou, AF
通讯作者：
Chatziioannou, AF
影响因子：
6.2
作者：
Allen, B;Curless, B;Popovic, Z
通讯作者：
Popovic, Z