Abstract
Reconstructing a 3D Stereo-lithography (STL) Model from 2D Contours of scanned structure in Digital Imaging and Communication in Medicine (DICOM) images is crucial to understand the geometry and deformity. Computed Tomography (CT) images are processed to enhance the contrast, reduce the noise followed by smoothing. The processed CT images are segmented using thresholding technique. 2D contour data points are extracted from segmented CT images and are used to construct 3D STL Models. The 2D contour data points may contain outliers as a result of segmentation of low resolution images and the geometry of the constructed 3D structure deviate from the actual. To cope with the imperfections in segmentation process, in this work we propose to use filtered 2D contour data points to reconstruct 3D STL Model. The filtered 2D contour points of each image are delaunay triangulated and joined layer-by-layer to reconstruct the 3D STL model. The 3D STL Model reconstruction is verified on i) 2D Data points of basic shapes and ii) Region of Interest (ROI) of human pelvic bone and are presented as case studies. The 3D STL model constructed from 2D contour data points of ROI of segmented pelvic bone with and without filtering are presented. The 3D STL model reconstructed from filtered 2D data points improved the geometry of model compared to the model reconstructed without filtering 2D data points.
Abstract (translated)
从医学数字成像和通信（DICOM）图像扫描结构的二维轮廓重建三维立体光刻（STL）模型对于理解几何形状和畸形至关重要。计算机断层扫描（CT）图像经过处理以增强对比度，减少噪声，并进行平滑处理。处理后的CT图像使用阈值技术进行分割。从分段CT图像中提取2D轮廓数据点并用于构建3D STL模型。由于低分辨率图像的分割，这些二维轮廓数据点可能包含离群点，导致构造出的三维结构与实际几何形状有所偏差。 为了应对分割过程中的缺陷，我们在此工作中提出使用过滤后的二维轮廓数据点来重建3D STL模型。每个图层上的滤波2D轮廓点进行德劳内三角剖分并层层连接以重构3D STL模型。3D STL模型的重建通过以下案例进行了验证：一是基本形状的2D数据点，二是人体髋骨感兴趣区域（ROI）。论文中展示了从分割后的髋骨ROI二维轮廓数据点构建的3D STL模型，并比较了过滤和未过滤的数据点在建模效果上的差异。结果表明，基于滤波2D数据点重建的3D STL模型比使用未经处理的数据点重构出的模型具有更好的几何形状精度。
URL
https://arxiv.org/abs/2601.14997
