AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design

Li, Jianning; Pimentel, Pedro; Szengel, Angelika; Ehlke, Moritz; Lamecker, Hans; Zachow, Stefan; Estacio, Laura; Doenitz, Christian; Ramm, Heiko; Shi, Haochen; Chen, Xiaojun; Matzkin, Franco; Newcombe, Virginia; Ferrante, Enzo; Jin, Yuan; Ellis, David G; Aizenberg, Michele R; Kodym, Oldrich; Spanel, Michal; Herout, Adam

doi:10.1109/tmi.2021.3077047

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Li, J., Pimentel, P., Szengel, A., Ehlke, M., Lamecker, H., Zachow, S., Estacio, L., Doenitz, C., Ramm, H., Shi, H., Chen, X., Matzkin, F., Newcombe, V., Ferrante, E., Jin, Y., Ellis, D. G., Aizenberg, M. R., Kodym, O., Spanel, M., … et al. (2021). AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. IEEE Transactions on Medical Imaging, 40(9), 2329–2342. https://doi.org/10.1109/tmi.2021.3077047

Abstract

The aim of this paper is to provide a comprehensive overview of the MICCAI 2020 AutoImplant Challenge. The approaches and publications submitted and accepted within the challenge will be summarized and reported, highlighting common algorithmic trends and algorithmic diversity. Furthermore, the evaluation results will be presented, compared and discussed in regard to the challenge aim: seeking for low cost, fast and fully automated solutions for cranial implant design. Based on feedback from collaborating neurosurgeons, this paper conc