Pre-planning of individualized talus implants based on computed tomography-automated segmentation

Jie He; Zhexiao Guo; Yunxia Zeng; Xiuyun Su; Guoxian Pei

doi:10.1117/12.3009463

16 October 2023 Pre-planning of individualized talus implants based on computed tomography-automated segmentation

Jie He, Zhexiao Guo, Yunxia Zeng, Xiuyun Su, Guoxian Pei

Proceedings Volume 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023); 128030D (2023) https://doi.org/10.1117/12.3009463
Event: 2023 5th International Conference on Artificial Intelligence and Computer Science (AICS 2023), 2023, Wuhan, China

Abstract

Fractures of the talar neck and body are associated with spine fractures and scoliosis deformity, which affect cosmetic appearance and cause difficulty in ambulation. The implant design for talus surgery is thriving as a functional alternative in case of severe talar destruction, focusing on segmentation and reconstruction of the talus’s shape. However, manual segmentation of the talus is time-consuming and subjective. In this study, we exploited the automatic segmentation framework to efficiently train a deep learning-based model to accurately segment the talus based on computed tomography imaging. We developed three model configurations with nnU-Net and investigated their Dice similarity coefficients (DSC) and 95% Hausdorff distances (HD95) for talus segmentation on a CT image dataset. The three configurations performed well (DSC>0.95, HD95<0.6). When tested on the same samples, one of the configurations was more efficient while ensuring higher accuracy. We propose to focus on talus anatomic variations with increasing age based on this framework and apply it to clinical trials at the next stage.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jie He, Zhexiao Guo, Yunxia Zeng, Xiuyun Su, and Guoxian Pei "Pre-planning of individualized talus implants based on computed tomography-automated segmentation", Proc. SPIE 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023), 128030D (16 October 2023); https://doi.org/10.1117/12.3009463

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