3D reconstruction of the human rib cage from 2D projection images using a statistical shape model
3D reconstruction of the human rib cage from 2D projection images using a statistical shape model
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DOI：
10.1007/s11548-009-0390-2
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发表时间：
2010-03-01
影响因子：
3
通讯作者：
Zachow, Stefan
中科院分区：
文献类型：
--
作者：
Dworzak, Jalda;Lamecker, Hans;Zachow, Stefan
目的描述一种从少量分割的二维(2D)投影图像中重建人体肋骨的三维形状和姿态的方法。我们的工作旨在通过建立一种方法来评估同一患者的胸部X线片序列中的姿势差异，从而支持随后获得的X线片的时间减影技术。方法该方法基于肋骨三维统计形状模型(SSM)，该模型适用于单个肋骨的二值二维投影图像。为了驱动适应，我们最大限度地减少了距离度量，该距离度量量化了3D SSM的2D投影和单个肋骨的投影图像之间的差异。我们提出了不同的基于轮廓的距离度量，并评估了它们对SSM适应投影图像的适应性。结果对29组二值图像(后-前和侧向)进行了评估。根据所选择的距离测量，我们对肋骨保持架形状和姿势的联合重建实验产生了平均3D表面距离从2.2 mm到4.7 mm的重建误差。在给定单个肋骨的几何形状的情况下，姿态重建的旋转误差在0.1度到0.9度之间。结论该方法适用于二值投影图像中人体肋骨的位姿差异估计。因此，它能够在2D减影图像的生成期间提供用于配准的关键3D信息。
Purpose This paper describes an approach for the three-dimensional (3D) shape and pose reconstruction of the human rib cage from few segmented two-dimensional (2D) projection images. Our work is aimed at supporting temporal subtraction techniques of subsequently acquired radiographs by establishing a method for the assessment of pose differences in sequences of chest radiographs of the same patient. Methods The reconstruction method is based on a 3D statistical shape model (SSM) of the rib cage, which is adapted to binary 2D projection images of an individual rib cage. To drive the adaptation we minimize a distance measure that quantifies the dissimilarities between 2D projections of the 3D SSM and the projection images of the individual rib cage. We propose different silhouette-based distance measures and evaluate their suitability for the adaptation of the SSM to the projection images.Results An evaluation was performed on 29 sets of biplanar binary images (posterior-anterior and lateral). Depending on the chosen distance measure, our experiments on the combined reconstruction of shape and pose of the rib cages yield reconstruction errors from 2.2 to 4.7 mm average mean 3D surface distance. Given a geometry of an individual rib cage, the rotational errors for the pose reconstruction range from 0.1 degrees to 0.9 degrees.Conclusions The results show that our method is suitable for the estimation of pose differences of the human rib cage in binary projection images. Thus, it is able to provide crucial 3D information for registration during the generation of 2D subtraction images.