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Shrinking tube mesh: combined mesh generation and smoothing for pathologic vessels

机译:收缩管网:对病理血管组合的网格产生和平滑

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摘要

We present a mesh generation algorithm which is able to produce smooth meshes from point clouds derived from histological slices. In this work, the shrinking tube mesh generation is used on histologic images depicting pathologic vessels. Our mesh generation is modeled after the behaviour of a shrinking tube. A start shape is fitted iteratively to the point cloud. The presented algorithm was successfully used to generate meshes of the inner and outer contour from vessels in histologic images. While histologic slices have a high in-plane resolution, the large slice distance and deformations during tissue deformations are challenging for 3D model generation.
机译:我们提出了一种网格生成算法,其能够从组织学切片衍生的点云产生光滑网格。在这项工作中,用于描绘病理血管的组织学图像的收缩管网格产生。在收缩管的行为之后,我们的网格产生是建模的。启动形状迭代地拟合到点云。所提出的算法成功地用于从组织学图像中的血管产生内部和外轮廓的网格。虽然组织学切片具有高面内分辨率,但在组织变形期间的大片距离和变形是对3D模型产生的具有挑战性。

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