A dual-pathway network combining global and local representation enhanced automatic segmentation of hippocampus

Shanshan Tong; Zhentao Zuo; Dengdi Sun; Tiangang Zhou

doi:10.1117/12.2681343

8 June 2023 A dual-pathway network combining global and local representation enhanced automatic segmentation of hippocampus

Shanshan Tong, Zhentao Zuo, Dengdi Sun, Tiangang Zhou

Author Affiliations +

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 127071R (2023) https://doi.org/10.1117/12.2681343
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

Accurate segmentation of the hippocampus from MR brain images is a critical step for investigating early brain development. Unfortunately, the previous methods hippocampus segmentation is not suitable for subdividing hippocampus into multiple anatomically different subregions, such as head, body, tail, based on structural magnetic resonance imaging. The main problem is lack of discriminative and robust features representation for distinguishing the hippocampus from the surrounding subregions structures. To this end, we designed a dual-pathway network to learn the global and local representation from both global and local pathway. We proposed a global pyramid attention fusion module (GPAFM) in global pathway, which extracted coarse and global features representing the gist of the object. And a local feature aggregation module was adopted in local pathway to extract fine and local features representing the details for determining object categories. The experimental results have demonstrated that GPAFM successfully parcellated the hippocampus into head, body and tail subregions with high accuracy. Dice coefficient on three hippocampus datasets have further demonstrated the validity of the model. Compared with superior methods, the proposed method had better performance on parcellating the hippocampus subregions.

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Shanshan Tong, Zhentao Zuo, Dengdi Sun, and Tiangang Zhou "A dual-pathway network combining global and local representation enhanced automatic segmentation of hippocampus", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 127071R (8 June 2023); https://doi.org/10.1117/12.2681343

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KEYWORDS

Image segmentation

Head

Brain

Magnetic resonance imaging

Voxels

Artificial intelligence

Deep learning

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