Pulmonary bronchial segmentation scheme based on 3D UX-Net

Mingyou Xu; Minyan Xia; Xiangmin Li

doi:10.1117/12.3044800

27 August 2024 Pulmonary bronchial segmentation scheme based on 3D UX-Net

Mingyou Xu, Minyan Xia, Xiangmin Li

Author Affiliations +

Proceedings Volume 13252, Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024); 132520I (2024) https://doi.org/10.1117/12.3044800
Event: 2024 Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024), 2024, Kaifeng, China

Abstract

In order to achieve accurate segmentation of lung bronchus and obtain the inner diameter of the bronchus, a new method of lung bronchus segmentation design and post-processing optimization based on 3D UX-Net model was proposed. Firstly, 3D UX-Net model was used to train bronchial data. Secondly, a new post-processing process to improve segmentation accuracy is combined with region selection, threshold adjustment and maximum connected domain analysis. Finally, a comparison experiment with other algorithm models is conducted on the open data set. The experimental results showed that the Dice coefficient evaluation index based on the 3D UX-Net model was improved from 0.83 to 0.85, and the error of the published and clinical data sets on the inner diameter of the bronchus was within 0.2mm. It was concluded that the model and post-processing method proposed in this study could segment the bronchus quickly and accurately.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Mingyou Xu, Minyan Xia, and Xiangmin Li "Pulmonary bronchial segmentation scheme based on 3D UX-Net", Proc. SPIE 13252, Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024), 132520I (27 August 2024); https://doi.org/10.1117/12.3044800

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