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Other ORP type . 2020
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Cerebral Aneurysm Detection and Analysis

Authors: Tabea Kossen, Charité; Kaufhold, Lilli; Hüllebrand, Markus; Jan-Martin Kuhnigk; Brühning, Jan; Schaller, Jens; Pfahringer, Boris; +3 Authors

Cerebral Aneurysm Detection and Analysis

Abstract

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.

Keywords

X-ray rotational angiography, MICCAI Challenges, Segmentation, Biomedical Challenges, Quantification, Stroke risk, Automatic detection, MICCAI, Aneurysm, Risk prediction

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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