Matthias Ivantsits of the Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine (ICM) at Charité – Universitätsmedizin Berlin was ranked first place in the CADA sub-challenge for rupture risk estimation (RRE) of cerebral aneurysms.
The CADA Challenge supports the automated and semi-automated analysis of image data of cerebral aneurysms and was organized in partnership with Charité, Fraunhofer MEVIS, Helios, NVIDIA, B. Braun-Stiftung and BIFOLD as part of the 23rd International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI 2020).
Cerebral aneurysms are local dilations of arterial blood vessels caused by a weakness of the vessel wall. Subarachnoid hemorrhage (SAH) caused by the rupture of a cerebral aneurysm is a life-threatening condition associated with high mortality and morbidity. The mortality rate is above 40%, and even in case of survival cognitive impairment can affect patients for a long time.
It is therefore highly desirable to detect aneurysms early and decide about the appropriate rupture prevention strategy. Diagnosis and treatment planning is based on angiographic imaging using MRI, CT, or X-ray rotation angiography.
Major goals in computer assisted image analysis are the detection and risk assessment of aneurysms. The rupture risk estimation sub-challenge was the third of three separate tasks (detection, segmentation and rupture risk estimation). Matthias Ivantsits, PhD student in the Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine (ICM) at Charité, reached first place of the leaderboard. ICM is directed by BIFOLD Principal Investigator Prof. Dr. med. Titus Kühne with the Data Science and Medical Image Processing department being headed by BIFOLD Principal Investigator Prof. Dr.-Ing. Anja Hennemuth.