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An online contest for methods on aneurysm detection and segmentation: results of the ADAM challenge 2020

This webinar is organized by the Special Interest Group Imaging.

Abstract

Intracranial aneurysms are a bulging in the wall of brain vessels which if ruptured can lead to severe disability and death. Early and accurate detection and quantification of aneurysms is important to assess the risk of rupture and to allow decisions to be made on the treatment of the patient. Time of Flight Magnetic Resonance Angiographs (TOF-MRAs) are used to visualise the brain vessels and allow clinicians to take 2D measurements of the aneurysms. 3D measures would provide more information about the volume and shape of the aneurysm and furthermore, an automatic method would remove inter-observer errors and increase the workflow speed. To address this, we held the ADAM Challenge (adam.isi.uu.nl)  in which eleven participants submitted methods for automatic aneurysm detection and segmentation methods from the TOF-MRAs. In this presentation, I will explore the results and approaches of the submitted methods which were considered at the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2020.

About the speaker

Kimberley Timmins is a current PhD student at the Image Sciences Institute, UMCU supervised by Hugo Kuijf. She works closely between the departments of Image Sciences, Radiology and Neurology in her research in brain MR image analysis. She has particular interests using quantitative image analysis and deep learning to aid in the understanding of the development, diagnosis and analysis of intracranial aneurysms and cerebrovascular diseases.