Aorta Segmentation from 3D CT in MICCAI SEG.A. 2023 Challenge

Andriy Myronenko, Dong Yang, Yufan He, Daguang Xu

Abstract: Aorta provides the main blood supply of the body. Screening of aorta with imaging helps for early aortic disease detection and monitoring. In this work, we describe our solution to the Segmentation of the Aorta (SEG.A.23 (https://multicenteraorta.grand-challenge.org/multicenteraorta/)) from 3D CT challenge. We use automated segmentation method Auto3DSeg (https://monai.io/apps/auto3dseg) available in MONAI (https://github.com/Project-MONAI/MONAI). Our solution achieves an average Dice score of 0.920 and 95th percentile of the Hausdorff Distance (HD95) of 6.013, which ranks first and wins the SEG.A. 2023 challenge.