Other Open Access

Cerebral Aneurysm Detection and Analysis

Tabea Kossen, Charité; Lilli Kaufhold; Markus Hüllebrand; Jan-Martin Kuhnigk; Jan Brühning; Jens Schaller; Boris Pfahringer; Andreas Spuler; Leonid Goubergrits; Anja Hennemuth

This is the challenge design document for the "Cerebral Aneurysm Detection and Analysis" Challenge, accepted for MICCAI 2020.

Cerebral aneurysms are local dilatations 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 are based on angiographic imaging using MRI, CT, or X-ray rotation angiography.

Major goals in image analysis are the detection and risk assessment of aneurysms. We, therefore, subdivided the challenge into three categories. The first task is finding the aneurysm; the second task is the accurate segmentation to allow for a longitudinal assessment of the development of suspicious aneurysms. The third task is the estimation of the rupture risk of the aneurysm.

Files (7.6 MB)
Name Size
7.6 MB Download
All versions This version
Views 924924
Downloads 699699
Data volume 5.3 GB5.3 GB
Unique views 855855
Unique downloads 591591


Cite as