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.
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- Publication date:
- March 18, 2020
- DOI:
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- Keyword(s):
- MICCAI Challenges Biomedical Challenges MICCAI Aneurysm Automatic detection Segmentation Quantification X-ray rotational angiography Stroke risk Risk prediction
- Meeting:
- 23rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2020), Lima, Peru, 4-8 October 2020
- License (for files):
- Creative Commons Attribution No Derivatives 4.0 International