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Combined Visualization of Wall Thickness and Wall Shear Stress for the Evaluation of Aneurysms

机译:壁厚和壁剪应力的组合可视化评估动脉瘤

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For an individual rupture risk assessment of aneurysms, the aneurysm's wall morphology and hemodynamics provide valuable information. Hemodynamic information is usually extracted via computational fluid dynamic (CFD) simulation on a previously extracted 3D aneurysm surface mesh or directly measured with 4D phase-contrast magnetic resonance imaging. In contrast, a noninvasive imaging technique that depicts the aneurysm wall in vivo is still not available. Our approach comprises an experiment, where intravascular ultrasound (IVUS) is employed to probe a dissected saccular aneurysm phantom, which we modeled from a porcine kidney artery. Then, we extracted a 3D surface mesh to gain the vessel wall thickness and hemodynamic information from a CFD simulation. Building on this, we developed a framework that depicts the inner and outer aneurysm wall with dedicated information about local thickness via distance ribbons. For both walls, a shading is adapted such that the inner wall as well as its distance to the outer wall is always perceivable. The exploration of the wall is further improved by combining it with hemodynamic information from the CFD simulation. Hence, the visual analysis comprises a brushing and linking concept for individual highlighting of pathologic areas. Also, a surface clustering is integrated to provide an automatic division of different aneurysm parts combined with a risk score depending on wall thickness and hemodynamic information. In general, our approach can be employed for vessel visualization purposes where an inner and outer wall has to be adequately represented.
机译:对于动脉瘤的个体破裂风险评估,动脉瘤的壁形态和血流动力学可提供有价值的信息。血流动力学信息通常是通过在先前提取的3D动脉瘤表面网格上通过计算流体动力学(CFD)模拟来提取的,或直接通过4D相衬磁共振成像进行测量的。相反,描述体内动脉瘤壁的非侵入性成像技术仍然不可用。我们的方法包括一个实验,其中使用血管内超声(IVUS)探查解剖的囊状动脉瘤体模,该模型是根据猪肾动脉建模的。然后,我们从CFD仿真中提取了3D表面网格,以获取血管壁厚度和血液动力学信息。在此基础上,我们开发了一个框架,该框架描绘了动脉瘤的内壁和外壁,并通过距离色带提供了有关局部厚度的专门信息。对于两个壁,均采用阴影,以使内壁及其与外壁的距离始终是可感知的。通过将其与CFD模拟中的血液动力学信息相结合,可以进一步改善对壁的探测。因此,视觉分析包括用于突出显示病理区域的刷牙和链接概念。此外,还集成了表面聚类功能,以根据壁厚和血液动力学信息自动划分不同的动脉瘤部位并结合风险评分。通常,我们的方法可用于血管可视化目的,其中必须充分表示内壁和外壁。

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