燕山大学学报2026，Vol.50Issue(4)：348-359,12.DOI:10.3969/j.issn.1007-791X.2026.04.008
多模态信息融合的CT金属伪影校正网络
Multimodal information fusionnetwork for CT metal artifact reduction
摘要
Abstract
Computed Tomography(CT)is a pivotal diagnostic tool in medical imaging.The presence of metallic objects within the scan field,however,leads to the formation of metal artifacts in reconstructed CT images,which can significantly impair the accuracy of diagnosis and treatment.In recent years,deep learning-based approaches to Metal Artifact Reduction(MAR)have been developed to mitigate these artifacts.Yet,current methods often fail to capitalize on the complementary information available from different modalities,resulting in the suboptimal reduction of artifacts.To overcome this limitation,a Multi-modal Information Fusion Network(MIFNet)is constructed and applied to a model-driven MAR framework in this study.Regularization constraints are imposed on metal artifacts and CT images,leveraging the additive nature of metal artifacts,to formulate and solve an optimization model for MAR.Each iterative sub-step of the proposed algorithm is expanded into a network,creating a model-driven network with enhanced interpretability.Additionally,a deep neural network is developed that integrates local and global image information along with textual prior information,serving as the CT image proximal network within the model-driven MAR framework.The Contrastive Language-Image Pretraining(CLIP)model is utilized to incorporate textual prior knowledge,thereby aiding in MAR.Experimental results indicate that the multi-modal information fusion method presented here surpasses existing deep learning-based MAR methods in terms of MAR performance.关键词
计算机断层扫描/金属伪影校正/文本提示/模型驱动网络Key words
computed tomography/metal artifact reduction/textual prompt/model-driven network分类
信息技术与安全科学引用本文复制引用
傅昭然,赵英帅,姜轲,石保顺..多模态信息融合的CT金属伪影校正网络[J].燕山大学学报,2026,50(4):348-359,12.基金项目
国家自然科学基金资助项目(62371414) （62371414）
河北省自然科学基金资助项目(F2025203070) （F2025203070）
燕山大学校内科研培育项目-特色专项培育项目(理工)(UY202206) （理工）
秦皇岛市科学技术研究与发展计划项目(202301A058) （202301A058）
