Interventional Stent Deformation Tracking

Advisor: Nassir Navab
Supervision by: Stefanie Demirci

Overview

In the current clinical workflow of endovascular abdominal aortic repairs (EVAR) a stent graft is inserted via an introducer system through one femoral artery into the aneurysmatic aorta under 2D angiographic imaging. Despite this incredible improvement of treating abdominal aortic aneurysms (AAA), the minimally invasive deployment of a stent graft within a diseased vessel may cause comorbidities induced by the stent itself or a malfunction. So far, only ex-vivo or in-vitro experiments analyzing the interaction between stent graft and weakened vessel wall have been performed. The deformation of the stent graft as well as the interaction with the weakened vessel wall can be visually inspected during the intervention under fluorocopic imaging.

It is the aim of the project to extract this in-vivo stent graft deformation from Fluoro sequences. During a previous study, an algorithm for detection and 3D recovery of stent grafts has been proposed. This algorithm has to be advanced to track detected stent grafts over an entire image seuquence. The ocde has to be integrated within our new software framwork CAMPVis in order to improve the performance of the method for practical application. Finally, algorithms are to be correctly validated within different studies in cooperation with our colleagues at the university hospital lab NARVIS as well as with our partner physicians.

You should have profound knowledge of C++ and OpenGL^? programming and versioning using GitLab^?. It would be beneficial for the experiment planning if you are able to interact with people from different disciplines smoothly.

If you are interested please send your updated CV (including practical project experience) as well as a sample of C++ code that you have already implemented, to Stefanie Demirci.

Tasks

• Advancement of existing C++ algorithm
• Integration into CAMPVis
• Validation of method on synthetic test data and real patient data.
• Studies at our hospital lab NARVIS in collaboration with Dr. Ghotbi (Kreisklinik München-Pasing) and our partner physicians from Klinikum rechts der Isar.

Requirements

• A profound knowledge of C++ and OpenGL^? is mandatory.
• experience using GitLab^? is recommended.
• Interest in medical applications and multidisciplinary work is required.
• Good organizational skill is beneficial.