SEG.A. 2023 - Towards the Automatic Segmentation, Modeling and Meshing of the Aortic Vessel Tree from Multicenter Acquisitions

Antonio Pepe (Organiser)
Melito, G. M. (Organiser)
Egger, J. (Organiser)

Activity: Participation in or organisation of › Competition (Participation in/Organisation of)

Description

SEG.A. 23 - Segmentation of the aorta

Period	15 Jun 2023 → 31 Aug 2023
Event type	Other
Degree of Recognition	International

Keywords

multicenter
segmentation
shape modeling
Visualization
meshing
aorta
CTA
Artificial Intelligence

Documents & Links

This challenge comprehends one main task and two optional subtasks. In the main task, we target the problem of vessel tree segmentation before the diagnosis of an aortic pathology. We provide the challenge participants with a training set of aortic vessel trees (AVT) and corresponding manual segmentations from three institutions. Participants are expected to design algorithms for an automatic AVT segmentation based on this training set. All the proposed methods will be evaluated based on a hidden test set from a fourth institution using Dice Similarity Score (DSC) and Hausdorff Distance (HD). The evaluation will consider the the variance and the sensitivity of the evaluation metrics (DSC and HD) generated by different CTA variabilities, such as intensities, rotations, translations, noise and artificial motion artifacts. For this, the ranking will also consider the quantitative sensitivity indices to define how the proposed method copes with large input variation. B) The reconstruction of the AVTs needs to be ideally artifact free for visualization and blood flow simulation. In the first optional subtask, the reconstructed AVT surface geometries will be qualitatively evaluated by clinical specialists. The qualitative evaluation will focus on the number of branching arteries and on the visual quality of the produced results. In the second subtask, we expect the AVT reconstruction to be in the form of a volume mesh. This will be quantitatively evaluated in terms of mesh validity for applications of computational fluid dynamics and ranked using the scaled Jacobian and the number of mesh elements.

SEG.A. 2023 - Towards the Automatic Segmentation, Modeling and Meshing of the Aortic Vessel Tree from Multicenter Acquisitions

Description

Keywords

Documents & Links

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ECCOMAS CONGRESS 2024

SEG.A. 2023 - Towards the Automatic Segmentation, Modeling and Meshing of the Aortic Vessel Tree from Multicenter Acquisitions