MICCAI 2020

2 DAILY Mo n d a y MICCAI Challenge 32 CADA - Cerebral Aneurysm Detection Challenge Leonid Goubergrits is Professor of Cardiovascular Modelling and Simulation at Charité in Berlin. Matthias Ivantsits is a PhD student at Charité under the supervision of Anja Hennemuth. They are among the organizers of the Cerebral Aneurysm Detection (CADA) Challenge at this year’s MICCAI and they speak to us ahead of their event tomorrow. Cerebral aneurysms are a pathological enlargement of blood vessels in the brain. If an aneurysm ruptures, it causes bleeding into the brain, which in most cases is a life-threatening event. Therefore, early detection is vital . These days, with the increasing use of imaging modalities such as MRI, CT, and 3D rotational angiography, small unruptured “incidental” aneurysms are being more frequently detected. Once aneurysm has been identified, a clinician must decide if it requires treatment . Studies have shown that only a very small percentage of these aneurysms will rupture, so supporting clinicians to make the correct treatment decision is a key motivation for this challenge. “The first task for a clinician is simply to identify that an aneurysm exists,” Leonid explains. “Next is to detect its location and size. Based on this knowledge, they must decide whether to treat it or not. Then, based on segmentation and reconstruction of its 3D geometry, they will perform either surgical treatment with a clip, endovascular treatment using coils, or will use flow diverters or stents to protect it from rupture.” This challenge poses an interdisciplinary problem with computational scientists, mathematicians, and biomedical engineers working together to solve Leonid Goubergrits Matthias Ivantsits