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Complex wall modeling for hemodynamic simulations of intracranial aneurysms based on histologic images
International Journal of Computer Assisted Radiology and Surgery ( IF 3 ) Pub Date : 2021-03-14 , DOI: 10.1007/s11548-021-02334-z
Annika Niemann 1 , Samuel Voß 2 , Riikka Tulamo 3 , Simon Weigand 4 , Bernhard Preim 1 , Philipp Berg 2, 5 , Sylvia Saalfeld 1, 5
Affiliation  

Purpose

For the evaluation and rupture risk assessment of intracranial aneurysms, clinical, morphological and hemodynamic parameters are analyzed. The reliability of intracranial hemodynamic simulations strongly depends on the underlying models. Due to the missing information about the intracranial vessel wall, the patient-specific wall thickness is often neglected as well as the specific physiological and pathological properties of the vessel wall.

Methods

In this work, we present a model for structural simulations with patient-specific wall thickness including different tissue types based on postmortem histologic image data. Images of histologic 2D slices from intracranial aneurysms were manually segmented in nine tissue classes. After virtual inflation, they were combined into 3D models. This approach yields multiple 3D models of the inner and outer wall and different tissue parts as a prerequisite for subsequent simulations.

Result

We presented a pipeline to generate 3D models of aneurysms with respect to the different tissue textures occurring in the wall. First experiments show that including the variance of the tissue in the structural simulation affect the simulation result. Especially at the interfaces between neighboring tissue classes, the larger influence of stiffer components on the stability equilibrium became obvious.

Conclusion

The presented approach enables the creation of a geometric model with differentiated wall tissue. This information can be used for different applications, like hemodynamic simulations, to increase the modeling accuracy.



中文翻译:

基于组织学图像的颅内动脉瘤血流动力学模拟的复杂壁建模

目的

为了评估和分析颅内动脉瘤的破裂风险,对临床,形态和血液动力学参数进行了分析。颅内血流动力学模拟的可靠性很大程度上取决于基础模型。由于缺少有关颅内血管壁的信息,通常会忽略患者特定的壁厚以及血管壁的特定生理和病理特性。

方法

在这项工作中,我们提供了一种基于尸体组织学图像数据的结构仿真模型,该模型具有患者特定的壁厚,包括不同的组织类型。将来自颅内动脉瘤的组织学二维切片图像手动分割为九种组织类别。经过虚拟充气后,它们被合并为3D模型。这种方法可产生内壁和外壁以及不同组织部位的多个3D模型,作为后续模拟的前提。

结果

我们提出了一种针对壁中发生的不同组织纹理生成动脉瘤3D模型的管道。最初的实验表明,在结构模拟中包括组织的变化会影响模拟结果。特别是在相邻组织类别之间的界面处,较硬的组件对稳定性平衡的较大影响变得显而易见。

结论

所提出的方法使得能够创建具有分化的壁组织的几何模型。该信息可用于不同的应用程序,例如血液动力学仿真,以提高建模精度。

更新日期:2021-03-15
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