机电工程技术2026，Vol.55Issue(17)：11-18,33,9.DOI:10.3969/j.issn.1009-9492.2026.17.003
基于基础模型编码器多尺度因果干预的CT功能性骨髓分割
CT Functional Bone Marrow Segmentation Based on Multi-scale Causal Intervention of the Foundation Model Encoder
摘要
Abstract
Automatic segmentation of functional bone marrow in three-dimensional computed tomography(CT)images is often challenged by low grayscale contrast,blurred boundaries,discrete spatial distribution,and pronounced inter-individual variability.To address these issues,a three-dimensional CT functional bone marrow segmentation model based on multiscale causal intervention with a foundation model(UF-MedSAM3D)is proposed.The model adopts a U-shaped encoder-decoder architecture as the backbone and incorporates a frozen MedSAM3D foundation model encoder to extract multiscale global semantic features.Furthermore,multiscale causal intervention modules are designed within the encoding stage to enable causal regulation and efficient fusion of global semantic information and local structural features,thereby suppressing spurious correlations and enhancing boundary representation capability.The proposed method is evaluated on a self-constructed functional bone marrow database(FBMD).The Dice coefficient,mIoU,HD95,and ASSD for the FBM1 region reach 81.02%,72.08%,5.347,and 0.941,respectively,while those for the FBM2 region reach 83.11%,74.11%,4.833,and 0.542,respectively.Experimental results demonstrate that,compared with mainstream three-dimensional segmentation models such as UNETR,SwinUNETR,TransBTS,nnFormer,and nnUNetv2,the proposed method achieves superior segmentation accuracy and boundary consistency.关键词
功能性骨髓分割/基础模型编码器/多尺度/因果干预Key words
functional bone marrow segmentation/foundation model encoder/multiscale/causal intervention分类
医药卫生引用本文复制引用
钟甫东,秦传波,肖林,刘裕杰..基于基础模型编码器多尺度因果干预的CT功能性骨髓分割[J].机电工程技术,2026,55(17):11-18,33,9.基金项目
2023广东省医学基金项目(B2023100) （B2023100）
2025年五邑大学研究生教育创新计划项目(2025JXAL_01) （2025JXAL_01）
