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Centerline-Radius Polygonal-Mesh Modeling of Bifurcated Blood Vessels in 3D Images using Conformal Mapping

机译:使用共形映射在3D图像中分叉血管的中心线-半径多边形网格建模

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Accurate modeling of the human vascular tree from 3D computed tomography (CTA) or magnetic resonance (MRA) angiograms is required for visualization, diagnosis of vascular diseases, and computational fluid dynamic (CFD) blood flow simulations. This work describes an automated algorithm for constructing the polygonal mesh of blood vessels from such images. Each vascular segment is modeled as a tubular object, and a thin plate spline transform is used to generate the corresponding surface from its centerline-radius representation. A novel approach for generating the polygonal mesh of bifurcating vessels based on conformal mapping is presented. A mathematical description of the methodology is also provided. The model is improved by computing local intensity features with subvoxel accuracy, to slightly deform the mesh of the vascular tree for fine-tuning. The proposed algorithm was successfully tested on a 3D synthetic image containing randomly generated vascular branches. Experiment results, confirmed by real-world Time of Flight MRA, demonstrate that our methodology is consistent and capable of generating high quality triangulated meshes of vascular trees, suitable for further CFD simulations. Compared to common techniques, conformal mapping proved to be a simple and effective mathematical approach for polygonal mesh modeling of bifurcating vessels.
机译:为了可视化,诊断血管疾病和计算流体动力学(CFD)血流模拟,需要使用3D计算机断层扫描(CTA)或磁共振(MRA)血管造影图对人体血管树进行精确建模。这项工作描述了一种自动算法,用于根据此类图像构建血管的多边形网格。将每个血管段建模为管状对象,并使用薄板样条变换从其中心线-半径表示生成相应的表面。提出了一种基于共形映射生成分叉容器多边形网格的新方法。还提供了该方法的数学描述。通过以亚体素精度计算局部强度特征来改进该模型,以使血管树的网格稍微变形以进行微调。在包含随机生成的血管分支的3D合成图像上成功测试了该算法。由真实世界的飞行时间MRA确认的实验结果表明,我们的方法是一致的,并且能够生成高质量的血管树三角网格,适用于进一步的CFD模拟。与常规技术相比,共形映射被证明是用于分叉容器的多边形网格建模的一种简单有效的数学方法。

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