Toumanidou T, Noailly J, Ceresa M, Zhang C, López-Linares K, Macía I, González Ballester M.A. Patient-specific modeling of unruptured human abdominal aortic aneurysms using deformable hexahedral meshes. International Journal of Computer Assisted Radiology and Surgery
We develop a large number of software tools and hosting infrastructures to support the research developed at the Department. We will be detailing in this section the different tools available. You can take a look for the moment at the offer available within the UPF Knowledge Portal, the innovations created in the context of EU projects in the Innovation Radar and the software sections of some of our research groups:
Artificial Intelligence |
Nonlinear Time Series Analysis |
Web Research |
Music Technology |
Interactive Technologies |
Barcelona MedTech |
Natural Language Processing |
Nonlinear Time Series Analysis |
UbicaLab |
Wireless Networking |
Educational Technologies |
Toumanidou T, Noailly J, Ceresa M, Zhang C, López-Linares K, Macía I, González Ballester M.A. Patient-specific modeling of unruptured human abdominal aortic aneurysms using deformable hexahedral meshes. International Journal of Computer Assisted Radiology and Surgery
Toumanidou T, Noailly J, Ceresa M, Zhang C, López-Linares K, Macía I, González Ballester M.A. Patient-specific modeling of unruptured human abdominal aortic aneurysms using deformable hexahedral meshes. International Journal of Computer Assisted Radiology and Surgery, vol. 12, Suppl. 1 (CARS 2017)
Abdominal aortic aneurysm (AAA) disease is a pathological dilation of the aorta involving degeneration of the wall and can lead to aneurysmal rupture with a 90% mortality rate. Although the maximum transverse AAA diameter (DMAX) is the most commonly used predictor of rupture risk and warrants surgery for DMAX>5.5 cm, the reported rupture for smaller aneurysms is up to 23%. Instead, wall stresses obtained through finite element (FE) models that consider the heterogeneous and anisotropic behavior of the wall layers were suggested as a more accurate rupture predictor. Our goal is the generation of patient-specific volumetric FE meshes of unruptured AAA via open-source and automatic workflows aiming to address the following challenges: -Structured hexahedral meshes are required for mesh convergence in the radial direction -Thrombus and outer wall segmentation is challenging because of lack of contrast and fuzzy borders -The workflow should involve few if any manual operations -Ideally, open-source libraries would allow for adaptation of the workflow to any geometry