中国医疗设备2025，Vol.40Issue(7)：15-19,69,6.DOI:10.3969/j.issn.1674-1633.20241081
基于多模态图像融合的腰部脊柱MRI图像分割研究
Research on Lumbar Spine MRI Image Segmentation Based on Multimodal Image Fusion
孙经纬 1高松1
作者信息
- 1. 江苏省人民医院 放射科,江苏 南京 210000
- 折叠
摘要
Abstract
Objective To propose a multimodal magnetic resonance imaging(MRI)image fusion and segmentation method,and combine different sequence images under MRI to improve the segmentation accuracy of organs in the spinal region.Methods A dual-branch fusion segmentation network was designed for T1 and T2 modal images under MRI.Firstly,the features in a single modality were extracted by using a hybrid encoder.Then,the cross-modal features were extracted through the Transformer structure.Finally,in the upsampling stage,the multi-modal information was fused based on the spatial attention mechanism to complete the segmentation.Furthermore,a deep supervision mechanism was adopted to improve the efficiency of network training.Experiments were conducted on the lumbar spine MRI dataset SPIDER.The method proposed in this paper was compared with the traditional single-modal segmentation method and other fusion segmentation methods to verify the effectiveness of feature fusion of the method proposed in this paper.Results The Dice coefficients of the proposed method in this paper for segmentation on vertebrae,intervertebral discs and spinal canals were 93.20%,86.90%and 94.80%respectively,which were superior to the traditional single-modal image segmentation methods.Moreover,the proposed method in this paper was more robust in the case of modal absence.Conclusion The multimodal MRI image fusion and segmentation method proposed in this paper can effectively combine the respective imaging advantages of the T1 and T2 modalities,improve the segmentation accuracy of organs in the spinal region,assist doctors in diagnosis in clinical applications,and improve the efficiency of diagnosis and treatment.关键词
多模态/脊柱MRI图像/图像分割/空间注意力机制/Transformer/图像融合Key words
multimodal/spinal MRI image/image segmentation/spatial attention mechanism/Transformer/image fusion分类
医药卫生引用本文复制引用
孙经纬,高松..基于多模态图像融合的腰部脊柱MRI图像分割研究[J].中国医疗设备,2025,40(7):15-19,69,6.
