For her Phd project, Dieuwertje works on finding parameters associated with rupture of abdominal aortic aneurysms (AAA’s), based on image data. To analyse an aneurysm, we need a watertight 3D model of the aorta. Explicit representations of the vessel geometry are challenging to acquire directly from image data. At the STACOM workshop, Dieuwertje presented an AI-based method to acquire a vascular model based on a set of 3D points on the surface.
The key idea was to represent the surface by an implicit function, rather than explicitly. Therefore using a neural network to represent this function, that was optimized based on the set of points on the surface. Some benefits of these function representations: it captures anatomical priors and allows for smooth blending of vessels.
We are happy to announce that this work was awarded with a best poster award at the STACOM workshop at MICCAI 2022 in Singapore.
More recent news
Thu 12 Feb 2026UT Professor Frederic Schuller elected to the Academy for Excellence in Higher Education
Tue 13 Jan 2026Course bridges mathematics gap for first-year students
Wed 26 Nov 2025Higher Education Strike on Tuesday 9 December
Tue 10 Jun 2025MCS Research Cluster Renamed to MAGNUS
Thu 10 Apr 2025In Memoriam Huibert Kwakernaak 1937-2024
