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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >Three dimensional reconstruction of coronary arteries from two views.
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Three dimensional reconstruction of coronary arteries from two views.

机译：从两个角度对冠状动脉进行三维重建。

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摘要

Geometric representation and measurements of localized lumen stenosis of coronary arteries are important considerations in the diagnosis of cardiovascular diseases. This discrete narrowing of the arteries typically impairs blood flow in regions of the heart, and can be present along the entire length of the artery. Three-dimensional (3-D) reconstruction of coronary arterial tree allows clinician to visualize vascular geometry. Three-dimensional representation of tree topology facilitates calculation of hemodynamic measurements to study myocardial infarction and stenosis. The 3-D arterial tree, computed from two views, can provide more information about the tree geometry than individual views. In this paper, a 3-step algorithm for 3-D reconstruction of arterial tree using two standard views is presented. The first step is a multi-resolution segmentation of the coronary vessels followed by medial-axis detection along the entire arterial tree for both views. In the second step, arterial trees from the two views are registered using medial-axis representation at the coarsest resolution level to obtain an initial 3-D reconstruction. This initial reconstruction at the coarsest level is then modified using 3-D geometrical a priori information. In the third step, the modified reconstruction is projected on the next higher-resolution segmented medial-axis representation and an updated reconstruction is obtained at the higher resolution. The process is iterated until the final 3-D reconstruction is obtained at the finest resolution level. Linear programming based constrained optimization method is used for registering two views at the coarse resolution. This is followed by a Tree-Search method for registering detailed branches at higher resolutions. The automated 3-D reconstruction method was evaluated on computer-simulated as well as human angiogram data. Results show that the automated 3-D reconstruction method provided good registration of computer-simulated data. On human angiogram data, the computed 3-D reconstruction matched well with manual registration.
机译：冠状动脉局部管腔狭窄的几何表现和测量是诊断心血管疾病的重要考虑因素。动脉的这种离散变窄通常损害心脏区域中的血液流动，并且可以沿着动脉的整个长度存在。冠状动脉树的三维（3-D）重建使临床医生可以可视化血管几何形状。树形拓扑的三维表示有助于计算血液动力学测量值，以研究心肌梗塞和狭窄。从两个视图计算得出的3-D动脉树可以提供比单个视图更多的有关树的几何形状的信息。在本文中，提出了一种使用两个标准视图对动脉树进行3D重建的3步算法。第一步是对冠状动脉进行多分辨率分割，然后沿着整个动脉树进行中间轴检测以获取两种视图。在第二步中，使用中间轴表示以最粗糙的分辨率对两个视图中的动脉树进行配准，以获得初始的3D重建。然后，使用3-D几何先验信息修改最粗略的初始重构。在第三步中，将修改后的重构投影到下一个更高分辨率的分段中间轴表示上，并以更高的分辨率获得更新的重构。重复该过程，直到以最佳分辨率获得最终的3-D重建为止。基于线性规划的约束优化方法用于以粗分辨率配准两个视图。其次是树型搜索方法，用于以更高的分辨率注册详细的分支。在计算机模拟以及人体血管造影数据上评估了自动3-D重建方法。结果表明，自动3-D重建方法可以很好地记录计算机模拟数据。在人体血管造影数据上，计算出的3-D重建与手动配准非常匹配。

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