Automatic construction of multiple-object three-dimensional statistical shape models: Application to cardiac modeling
Automatic construction of multiple-object three-dimensional statistical shape models: Application to cardiac modeling
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DOI：
10.1109/tmi.2002.804426
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发表时间：
2002-09-01
影响因子：
10.6
通讯作者：
Niessen, WJ
中科院分区：
文献类型：
--
作者：
Frangi, AF;Rueckert, D;Niessen, WJ
介绍了一种新的方法，用于生成三维（3-D）形状的地标和相应的3-D统计形状模型的建设。从一类形状中自动标记一组手动分割的标志是通过以下方式实现的：1）构建该类的图谱，2）从图谱中自动提取标志，以及3）随后通过使用多分辨率B样条变形的体积非刚性配准技术将这些标志传播到每个示例形状。这种方法比以前发表的方法具有一些优点：它可以处理多部分结构，并需要较少的限制性假设结构的拓扑结构。在本文中，我们解决的问题，建立一个3-D统计形状模型的左，右心室的心脏从3-D磁共振图像。在地标传播的平均精度被证明是低于2.2毫米。该应用程序演示了在存在大的形状变化和多个对象的方法的鲁棒性和准确性。
A novel method is introduced for the generation of landmarks for three-dimensional (3-D) shapes and the construction of the corresponding 3-D statistical shape models. Automatic landmarking of a set of manual segmentations from a class of shapes is achieved by 1) construction of an atlas of the class, 2) automatic extraction of the landmarks from the atlas, and 3) subsequent propagation of these landmarks to each example shape via a volumetric nonrigid registration technique using multiresolution B-spline deformations. This approach presents some advantages over previously published methods: it can treat multiple-part structures and requires less restrictive assumptions on the structure's topology. In this paper, we address the problem of building a 3-D statistical shape model of the left and right ventricle of the heart from 3-D magnetic resonance images. The average accuracy in landmark propagation is shown to be below 2.2 mm. This application demonstrates the robustness and accuracy of the method in the presence of large shape variability and multiple objects.