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Description:
Intracranial aneurysm rupture can have fatal consequences, treatment of intracranial aneurysms aims to prevent aneurysm rupture. Treatment decisions depend on the assessment of aneurysm rupture risk. While the factors leading to aneurysm rupture are not completely understood yet, it is suspected that changes in the aneurysm wall play a major role in aneurysm rupture. In this thesis, several tools for analysis of the intracranial aneurysm wall were developed. First, the wall of an aneurysm and its parent vessel are reconstructed as a 3D model based on 2D histologic data. These data were collected post mortem. Second, histologic and microCT images of a tissue sample were combined with preoperative data. Both projects include histologic data, which are useful in research but cannot be used in clinical routine, as the necessary tissue collection requires opening the skull. Two further projects on how the aneurysm wall could be included into clinical routine are part of this thesis. In the near future, rupture risk assessment could be aided by vessel wall imaging, wall enhancement segmentation and geometric deep learning rupture prediction. In the distant future, hemodynamic parameters like the wall shear stress could also be included in clinical routine. Here, first steps towards this are presented. From 2D histologic images a 3D model of the aneurysm wall is constructed. This includes the definition of tissue classes occurring in the aneurysm wall, segmentation of the images into these classes and extraction of the contours of each tissue section. Then, the contours are registered, 3D point clouds are derived and meshes are generated. For the mesh generation a new algorithm based on the behaviour of a shrinking tube was developed. The final 3D model of the wall includes over 100 smaller meshes showing the various tissue sections of the aneurysm wall. The second project combines histologic images with additional pre- and post imaging. A preoperative 3D model of the aneurysm and a microCT scan of the tissue provide ...