A dual attention-guided transformer for multitissues segmentation of  knee joint

Yixin Wang; Liyuan Zhang; Yu Miao; Xiongfeng Tang

doi:10.1117/12.3048245

3 October 2024 A dual attention-guided transformer for multitissues segmentation of knee joint

Yixin Wang, Liyuan Zhang, Yu Miao, Xiongfeng Tang

Author Affiliations +

Proceedings Volume 13272, Fifth International Conference on Computer Vision and Data Mining (ICCVDM 2024); 1327224 (2024) https://doi.org/10.1117/12.3048245
Event: 5th International Conference on Computer Vision and Data Mining (ICCVDM 2024), 2024, Changchun, China

Abstract

Osteoarthritis is a leading cause of chronic disabilities. Automatic multi-tissues segmentation of knee joint can help doctors diagnose Osteoarthritis by segmenting knee joint MRI. However, manually segmenting is time-consuming for an experienced expert. Besides, this task is challenging due to the significant morphological differences and close proximity between various tissues in the knee joint. To achieve fast and accurate segmentation, we propose a novel hybrid architecture named nnCSCFormer (Not-another Cross-shaped Channel Transformer). This architecture integrates spatial and channel attention mechanisms to enable rapid and accurate automatic multi-tissues segmentation. By capturing the relationship between spatial and channel dimensions across the entire feature space, our model effectively extracts multitissues’specific information. Additionally, we introduce skip attention to aid the decoder in better preserving original image details. Experimental results demonstrate the efficacy of our model in simultaneously segmenting six tissues: femur bone, femoral cartilage, tibia bone, tibial cartilage, lateral meniscus and medial meniscus. The proposed method achieves superior segmentation performance compared to alternative methods on low-resolution knee MRI and has significant application value in preoperative planning for surgical navigation.

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

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Yixin Wang, Liyuan Zhang, Yu Miao, and Xiongfeng Tang "A dual attention-guided transformer for multitissues segmentation of knee joint", Proc. SPIE 13272, Fifth International Conference on Computer Vision and Data Mining (ICCVDM 2024), 1327224 (3 October 2024); https://doi.org/10.1117/12.3048245

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KEYWORDS

Transformers

Image segmentation

Cartilage

Tissues

Magnetic resonance imaging

Bone

Data modeling

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