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Anatomical shape reconstruction and manufacturing: solving topological changes of lumen vessel trough geometric approach

机译:解剖形状的重建和制造:解决管腔血管槽几何方法的拓扑变化

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摘要

Over the last years there has been an increasing growth of interest in Rapid Prototyping (RP) techniques applied to various fields of medicine. RP makes it possible, in vascular surgery, to produce accurate anatomic replicas of patient vessels. These replicas can help the customization of surgical invasive interventions such as in situ stent-graft insertion in carotid region.udThe main goal of this work is to obtain high quality in lumen reconstruction and manufacturing replicas by RP technique. This goal is achieved through the complete control of each phase of the generating process. We present a semi-automatic method for carotid lumen reconstruction based on Boundary Representation (BRep). All parameters influencing the quality of the shape reconstruction are presented and discussed: shape acquisition, shape reconstruction and shape manufacturing. The shape acquisition starts by extracting the points belonging to the boundary of the lumenudvessel, from Computer Tomography (CT) images. These points, parameterised in a vector, are the input data of the shape reconstruction algorithm based on B-Spline interpolation. The B-Spline type for representing curves and surfaces were chosen because of their properties of continuity and local control.udIn the shape reconstruction stage we had to face problems due to the topological change on the vessel structure. For vessel regions where there are not changes of topology, we use the closed B-Spline curves (belonging to adjacent acquisition planes) as generating curves to build a B-Spline surface. For vessel regions with at least a change of topology (ex. bifurcation region) our algorithm split automatically the involved curves to obtain three rectangular B-Spline patches. Such patches are joined together to obtain the bifurcation vessel lumen. The set of lumen surfaces is then inserted in a Boundary Representation in order to get a valid solid. To analyse the quality of the reconstructed shapes, the final object is compared with the acquisition image. This solid is correctly tessellated in triangles to produce the data format used by the RP devices (STL).
机译:在过去的几年中,对应用于各种医学领域的快速原型(RP)技术的兴趣日益增长。 RP使在血管外科手术中产生患者血管的精确解剖复制成为可能。这些复制品可以帮助定制外科侵入性干预措施,例如在颈动脉区域内原位植入支架。 ud这项工作的主要目标是通过RP技术获得高质量的内腔重建和复制品制造。通过完全控制发电过程的每个阶段,可以实现这一目标。我们提出了一种基于边界表示(BRep)的颈动脉腔重建半自动方法。提出并讨论了影响形状重建质量的所有参数:形状获取,形状重建和形状制造。通过从计算机断层扫描(CT)图像中提取属于管腔血管边界的点开始获取形状。这些在矢量中参数化的点是基于B样条插值的形状重构算法的输入数据。选择B样条曲线类型代表曲线和曲面是因为它们具有连续性和局部控制特性。 ud在形状重建阶段,由于血管结构的拓扑变化,我们不得不面对问题。对于拓扑不变的血管区域,我们使用封闭的B样条曲线(属于相邻的采集平面)作为生成曲线来构建B样条曲面。对于至少具有拓扑变化的血管区域(例如,分叉区域),我们的算法会自动拆分所涉及的曲线以获得三个矩形B样条斑块。将此类贴剂连接在一起以获得分叉血管腔。然后将这组腔表面插入“边界表示”中,以获得有效的实体。为了分析重建形状的质量,将最终对象与采集图像进行比较。该实体正确地以三角形进行了细分,以生成RP设备(STL)使用的数据格式。

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