This article presents a novel framework that can generate a high-fidelity isosurface model of X-ray computed tomography (CT) data. CT surfaces with subvoxel precision and smoothness can be simply modeled via isosurfacing, where a single CT value represents an isosurface. However, this inevitably results in geometric distortion of the CT data containing CT artifacts. An alternative is to treat this challenge as a segmentation problem. However, in general, segmentation techniques are not robust against noisy data and require heavy computation to handle the artifacts that occur in three-dimensional CT data. Furthermore, the surfaces generated from segmentation results may contain jagged, overly smooth, or distorted geometries. We present a novel local isosurfacing framework that can address these issues simultaneously. The proposed framework exploits two primary techniques: 1) Canny edge approach for obtaining surface candidate boundary points and evaluating their confidence and 2) screened Poisson optimization for fitting a surface to the boundary points in which the confidence term is incorporated. This combination facilitates local isosurfacing that can produce high-fidelity surface models. We also implement an intuitive user interface to alleviate the burden of selecting the appropriate confidence computing parameters. Our experimental results demonstrate the effectiveness of the proposed framework.

中文翻译：

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信心控制的局部局部堆焊。

本文提出了一种新颖的框架，该框架可以生成X射线计算机断层扫描（CT）数据的高保真等值面模型。具有等体素精度和平滑度的CT表面可以通过等值曲面简单建模，其中单个CT值表示等值面。然而，这不可避免地导致包含CT伪像的CT数据的几何失真。一种替代方法是将此挑战视为细分问题。但是，通常来说，分割技术对于嘈杂的数据并不稳健，需要大量的计算才能处理三维CT数据中出现的伪影。此外，从分割结果生成的表面可能包含锯齿状，过分平滑或变形的几何形状。我们提出了一个新颖的本地等值表面处理框架，可以同时解决这些问题。所提出的框架利用了两种主要技术：1）Canny边缘方法来获取曲面候选边界点并评估其置信度； 2）筛选Poisson优化，以将曲面拟合至结合了置信度项的边界点。这种组合有助于局部等值曲面化，从而可以生成高保真的曲面模型。我们还实现了直观的用户界面，以减轻选择适当的置信度计算参数的负担。我们的实验结果证明了所提出框架的有效性。这种组合有助于局部等值曲面化，从而可以生成高保真的曲面模型。我们还实现了直观的用户界面，以减轻选择适当的置信度计算参数的负担。我们的实验结果证明了所提出框架的有效性。这种组合有助于局部等值曲面化，从而可以生成高保真的曲面模型。我们还实现了直观的用户界面，以减轻选择适当的置信度计算参数的负担。我们的实验结果证明了所提出框架的有效性。