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3D pulmonary CT image registration with a standard lung atlas

机译:3D肺部CT图像配准与标准肺部标配

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A 3D anatomic atlas can be used to analyze pulmonary structures in CT images. To use an atlas to guide segmentation processing, the image being analyzed must be aligned and registered with the atlas. We have developed a 3D surface- based registration technique to register pulmonary CT volumes. To demonstrate the method, we have constructed an atlas from a CT image volume of a normal human male. The atlas is registered to new images in two steps: (1) a global transformation, and (2) a local elastic transformation. In the local transformation, the image and atlas volumes are divided into small subimages called cubes. The similarity between cubes in the image and atlas is measured to find the best match displacement vectors. These displacement vectors are processed using Burr's dynamic model to give a smoothed deformation vector for each voxel in the image. This method has been tested by three intra-subject registrations and three inter-subject registrations from four different normal human subjects. The results show that lung surface-based registration can register the internal lobar fissures from the atlas to the image within about 2.73 $POM 2.05 mm for intra- subject registration, and 5.96 $POM 4.99 mm for inter-subject registration. This registration can be used as an initialization for additional segmentation processing.
机译:3D解剖图纳斯可用于分析CT图像中的肺部结构。要使用图标来指导分割处理,必须对映像进行分析并向图表对齐并注册。我们开发了一种基于3D表面的登记技术来注册肺CT卷。为了证明该方法,我们从正常人类男性的CT图像体积构成了图表。 ATLAS分两步注册到新图像:(1)全局转换,(2)本地弹性转换。在本地转换中,图像和atlas卷分为称为多维数据集的小型子程。测量图像和地图集的立方体之间的相似性以找到最佳匹配位移向量。使用BURR的动态模型处理这些位移向量,以给出图像中每个体素的平滑变形向量。该方法已经由三个对象内注册和来自四个不同正常人类受试者的三个对象间注册进行了测试。结果表明,基于肺部的注册可以将内部叶片裂隙从地图集到图像中的图像,以便在约2.73 $ POM 2.05 mm内进行主题登记,并且用于对象间登记的5.96 $ POM 4.99 mm。此注册可用作附加分段处理的初始化。

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