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首页> 外文期刊>Medical image analysis >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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A method of 2D/3D registration of a statistical mouse atlas with a planar X-ray projection and an optical photo

机译：具有平面X射线投影和光学照片的统计鼠标图集的2D / 3D配准方法

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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.
机译：复杂，高通量的全身小动物成像技术的发展引起了对改进的图像分析和更高的自动化的需求。数字鼠标图谱与单个图像的配准是自动器官分割和摄取量化的前提。本文提出了一种自动方法，用于根据前后轮廓的X射线投影和鼠标轮廓的侧面光学照片向各个对象注册统计鼠标图集。鼠标图集被训练为基于83个器官分割的微型CT图像的统计形状模型。对于配准，采用了一种分层方法，该方法首先配准高对比度器官，然后根据已配准的高对比度器官估计低对比度器官。为了配准高对比度的器官，使用了2D配准反向投影策略，该策略根据图集投影的2D配准使3D地图集变形。为了验证，使用55个临床前小鼠研究对象评估了该方法。结果表明，该方法可以补偿动物姿势和器官解剖结构的适度变化。使用两个不同的指标，即骰子系数和平均表面距离，来评估主要器官的配准准确性。 Dice系数从脾脏的0.31±0.16变化到整个身体的0.88±0.03，平均表面距离从0.54±0.06变化。毫米为0.85±0.10。毫米的皮肤。该方法与直接3D变形优化（无2D配准-反投影）和单对象地图集配准（而不是使用统计地图集）进行了比较。比较结果表明，二维注册反向投影策略显着提高了注册准确性，并且使用统计性小鼠图谱比使用单主题图谱可得出更合理的器官形状。此方法还用肩部异种移植荷瘤小鼠进行了测试，结果表明，除了肺和脾脏，大多数器官的配准准确性均不受肩部肿瘤的影响。

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