生物医学工程学杂志最新文献_第3页

[Multi-modal tumor boundary clustering recognition based on artificial intelligence virtual cells and near-infrared surgical field]. [基于人工智能虚拟细胞和近红外手术视野的多模态肿瘤边界聚类识别]。

生物医学工程学杂志 Pub Date : 2026-08-25 DOI: 10.7507/1001-5515.202512069

Wei Li, Ting Wang, Xiaojian Yang, Fuxing Zhou

{"title":"[Multi-modal tumor boundary clustering recognition based on artificial intelligence virtual cells and near-infrared surgical field].","authors":"Wei Li, Ting Wang, Xiaojian Yang, Fuxing Zhou","doi":"10.7507/1001-5515.202512069","DOIUrl":"10.7507/1001-5515.202512069","url":null,"abstract":"In order to accurately identify tumor boundaries and improve diagnostic efficiency, this study proposes a multi-modal tumor boundary identification method based on artificial intelligence virtual cells and saliency near-infrared spectrum imaging, and uses this to construct the \"Golden Eyes 3.0\" intelligent navigation system. The system integrates the artificial intelligence virtual cell model constructed by the graph convolution network and introduces a loop iterative calibration mechanism to improve prediction accuracy. At the same time, this study also uses adaptive spectral discrimination weighted to optimize spectral feature extraction, realizes multi-modal data fusion through a gated attention mechanism, and finally builds a tumor boundary recognition model based on recurrent neural networks. The test results showed that on the intraoperative data sets of glioma and thyroid cancer, the prediction accuracy of artificial intelligence virtual cells was 98.8% and 98.9% respectively, the sensitivity of saliency detection is 0.1 pmol/L, and the \"Golden Eyes 3.0\" system's recognition accuracy of tumor boundaries could reach 96.2%. The above results prove that the multi-modal tumor boundary identification method proposed in this study can accurately identify tumor boundaries in patients and improve the accuracy of early tumor diagnosis.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"43 4","pages":"818-827"},"PeriodicalIF":0.0,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13519825/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148832607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[Research progress on the application of pollen in the biomedical field]. 【花粉在生物医学领域应用的研究进展】。

生物医学工程学杂志 Pub Date : 2026-08-25 DOI: 10.7507/1001-5515.202511022

Liya Bai, Yuanyuan Wang, Liu Yang, Yinsong Wang, Yanyan Sun

{"title":"[Research progress on the application of pollen in the biomedical field].","authors":"Liya Bai, Yuanyuan Wang, Liu Yang, Yinsong Wang, Yanyan Sun","doi":"10.7507/1001-5515.202511022","DOIUrl":"10.7507/1001-5515.202511022","url":null,"abstract":"Pollen is a natural, renewable, and biodegradable microparticle that has demonstrated significant potential for application in the biomedical field in recent years. It features a natural core-shell structure, unique morphology, and uniform size. The sporopollenin outer layer of pollen provides exceptional chemical stability, biocompatibility, and ultraviolet-resistant. Moreover, the surface of pollen is abundant in functional groups, allowing facile chemical modification. Owing to these distinctive physicochemical properties and favorable biological characteristics, pollen has emerged as an ideal biomaterial platform. This review outlines recent advances in the biomedical applications of pollen. It introduces methods for defatting and gelation processing of pollen and systematically summarizes its applications in various fields, including drug carriers, microrobots/micromotors, biosensors, three-dimensional printing, photothermal therapy, hemostasis, biological scaffolds, and ultraviolet-resistant. This review provides a reference for broadening the application of pollen and offers insights into the utilization of natural resources.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"43 4","pages":"872-878"},"PeriodicalIF":0.0,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13519827/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148832884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[Coupling characteristics of cellular electroporation and electrodeformation based on dynamic Young's modulus: influence of membrane thickness]. [基于动态杨氏模量的细胞电穿孔和电变形耦合特性：膜厚度的影响]。

生物医学工程学杂志 Pub Date : 2026-08-25 DOI: 10.7507/1001-5515.202603055

Xiangbiao Wei, Shengnan Zou, Fanyu Guo, Linying Liu

{"title":"[Coupling characteristics of cellular electroporation and electrodeformation based on dynamic Young's modulus: influence of membrane thickness].","authors":"Xiangbiao Wei, Shengnan Zou, Fanyu Guo, Linying Liu","doi":"10.7507/1001-5515.202603055","DOIUrl":"10.7507/1001-5515.202603055","url":null,"abstract":"To investigate the effect of membrane thickness on the coupled electroporation-electrodeformation response of the cell membrane, a coupled model incorporating a dynamic Young's modulus was developed to simulate transmembrane voltage, spatiotemporal pore evolution, and cell deformation at different membrane thicknesses. As membrane thickness increased from 6 to 10 nm, both the transmembrane voltage and pore radius peaked earlier. At 50 ns, pore density at the cell poles increased by 19.78%-67.44%, total electroporated area by 257.48%-859.36%, and the reduction in Young's modulus became more pronounced. Despite increased membrane softening, peak Maxwell stress decreased by 26.15%-63.28% and remained the dominant factor, reducing peak displacement at the cell poles by 12.35%-34.75%. These findings show that membrane thickness modulates the coupled response by jointly affecting electrically induced pore formation, membrane mechanical properties, and Maxwell stress. The model provides a theoretical basis for designing pulse parameters for cells with different membrane structural characteristics.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"43 4","pages":"784-790"},"PeriodicalIF":0.0,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13519813/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148833491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[Application of hybrid attention guided dual-path residual learning in magnetic resonance imaging diagnosis]. [混合注意引导双路残差学习在磁共振成像诊断中的应用]。

生物医学工程学杂志 Pub Date : 2026-08-25 DOI: 10.7507/1001-5515.202510033

Weipeng Zhu, Xianfa Cai, Yong Liu

{"title":"[Application of hybrid attention guided dual-path residual learning in magnetic resonance imaging diagnosis].","authors":"Weipeng Zhu, Xianfa Cai, Yong Liu","doi":"10.7507/1001-5515.202510033","DOIUrl":"10.7507/1001-5515.202510033","url":null,"abstract":"Multimodal magnetic resonance imaging (MRI) often faces challenges such as insufficient model generalization ability and high misdiagnosis rates in intelligent neuroimaging diagnosis. Existing methods, including single-path classification networks such as residual networks and EfficientNet, and segmentation-oriented workflow models such as U-Net, have the following limitations when processing multi-sequence MRI data: ① single-path structures have difficulty in effectively decoupling modality-specific features; ② conventional convolutions lack adaptive enhancement in the channel and spatial dimensions. Therefore, this paper proposes a dual-path residual channel-spatial attention network (DRCSA-Net). The model learns complementary representations through a parallel dual-branch structure (channel enhancement and spatial enhancement), introduces a squeeze-and-excitation module and a channel-spatial attention module to achieve channel recalibration and spatial attention focusing, and finally integrates information and completes classification through lightweight fusion convolution and fully connected layers. To comprehensively evaluate the proposed model, five-fold cross-validation, single-/dual-path comparison, ablation experiments, and robustness analysis were conducted on four public datasets. The experimental results show that DRCSA-Net achieves high accuracy on all four public datasets and demonstrates good effectiveness and stability in the single-/dual-path comparison, ablation experiments, and robustness analysis, providing a structurally clear and stable implementation scheme for brain tumor MRI classification.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"43 4","pages":"828-835"},"PeriodicalIF":0.0,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13519812/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148833515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[Research on blood viscoelasticity detection based on electrowetting technology]. 基于电润湿技术的血液粘弹性检测研究

生物医学工程学杂志 Pub Date : 2026-08-25 DOI: 10.7507/1001-5515.202508032

Chao Wang, Wenxing Huo, Liuqing Yang, Xian Huang, Wei Yang

{"title":"[Research on blood viscoelasticity detection based on electrowetting technology].","authors":"Chao Wang, Wenxing Huo, Liuqing Yang, Xian Huang, Wei Yang","doi":"10.7507/1001-5515.202508032","DOIUrl":"10.7507/1001-5515.202508032","url":null,"abstract":"Parameters related to coagulation function are key clinical biomarker reflecting the coagulation status of the human blood system. The disorder of coagulation function could lead to multiple diseases such as hemophilia and ischemic stroke. Blood viscoelasticity can effectively characterize the rheological variations during blood coagulation, thus enabling comprehensive assessment of coagulation function. In this paper, electrowetting technology was adopted to develop the detection approach for blood viscoelasticity. A dynamic mathematical model of the detection system was established, and the core influencing factors of the detection system were deduced. The effects of critical parameters such as driving voltage, excitation frequency and dielectric layer thickness on detection performance were investigated systematically. The results indicate that the above parameters significantly affect the operating performance of the detection system. Optimized matching of system parameters can effectively improve the stability and detection accuracy of the system. Conclusively, the electrowetting based method achieves high-precision measurement of blood viscoelasticity, which provides a novel technical scheme for coagulation detection.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"43 4","pages":"777-783"},"PeriodicalIF":0.0,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13519824/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148832875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[Dual-stream temporal-frequency convolutional network with additive attention for auditory attention decoding]. [双流时间-频率卷积网络的听觉注意解码]。

生物医学工程学杂志 Pub Date : 2026-08-25 DOI: 10.7507/1001-5515.202509064

Xiao Lin, Sunjie Zhang, Shuai Huang

{"title":"[Dual-stream temporal-frequency convolutional network with additive attention for auditory attention decoding].","authors":"Xiao Lin, Sunjie Zhang, Shuai Huang","doi":"10.7507/1001-5515.202509064","DOIUrl":"10.7507/1001-5515.202509064","url":null,"abstract":"In complex auditory environments, humans can selectively attend to a target speaker while suppressing interfering sources. Electroencephalography (EEG)-based auditory attention decoding (AAD) aims to identify the speech source an individual is attending to, holding significant potential for applications in hearing aids and human-machine interaction. However, existing methods still exhibit notable limitations in modeling dynamic time-frequency features, extracting multi-scale representations, and computational efficiency.To address these challenges, we propose a dual-stream time-frequency convolutional network with additive attention. The temporal branch employs a temporal convolutional additive attention module to integrate temporal and channel attention, enhancing the modeling of key EEG time segments and feature channels. The spectral branch adopts a spatial-spectral feature extractor and a multi-scale feature enhancement module to improve sensitivity to and modeling of frequency variation patterns. The global features from both branches are ultimately fused for attention direction classification. Under a 1-second decision window, our model achieved accuracy rates of 96.5%, 86.3%, 73.1%, and 73.5% on the KUL, DTU, AVED (audio-only), and AVED (audio-visual) datasets, respectively. These results significantly outperform state-of-the-art methods and demonstrate the effectiveness and superiority of the proposed approach.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"43 4","pages":"695-703"},"PeriodicalIF":0.0,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13519811/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148833525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[An auxiliary diagnosis system for cervical intraepithelial neoplasia based on colposcopic images]. 基于阴道镜影像的宫颈上皮内瘤变辅助诊断系统

生物医学工程学杂志 Pub Date : 2026-06-25 DOI: 10.7507/1001-5515.202411017

Xuelian Gu, Yizhu Zhang, Zhiyang Xu, Rui Guan, Renling Zou, Shengxuan Chu, Qingbin Fang

{"title":"[An auxiliary diagnosis system for cervical intraepithelial neoplasia based on colposcopic images].","authors":"Xuelian Gu, Yizhu Zhang, Zhiyang Xu, Rui Guan, Renling Zou, Shengxuan Chu, Qingbin Fang","doi":"10.7507/1001-5515.202411017","DOIUrl":"10.7507/1001-5515.202411017","url":null,"abstract":"Cervical intraepithelial neoplasia is the primary type of cervical precancerous lesion; however, manual clinical diagnosis is prone to bias and has limited grading accuracy. To achieve precise automated grading of CIN, this paper proposes a multimodal fusion Swin Transformer model and develops a corresponding computer-aided diagnosis system. This method employs three-channel fusion of raw images, cervical mask images, and directional gradient histogram features to enhance lesion texture and location information. Within the Swin Transformer backbone, an atrous spatial pyramid pooling module channel attention module and a convolutional feature extraction module are embedded to balance global semantic and local detail features. A focal loss function is adopted to address class imbalance in the dataset and improve the model's ability to identify difficult-to-classify samples. On a dataset of 3 915 clinical colposcopy images, the model achieved an overall accuracy of 90.01%, precision of 87.55%, recall of 86.17%, F1 score of 89.13%, outperforming baseline models such as VGG, ResNet, and Swin Transformer. The developed system integrates image quality screening, lesion identification, and three-level classification functions, providing an effective tool for the rapid and objective screening of clinical cervical precancerous lesions.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"43 3","pages":"496-503"},"PeriodicalIF":0.0,"publicationDate":"2026-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13311087/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148346597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[Research on automated orthodontic tooth arrangement by integrating multi-source structural information and dental arch prediction]. 基于多源结构信息和牙弓预测的正畸牙齿自动排牙研究

生物医学工程学杂志 Pub Date : 2026-06-25 DOI: 10.7507/1001-5515.202510064

Yuhang Fang, Zheng Zhao, Hongbo Zheng, Xujia Qin, Yuanxiang Zhu, Zhengqiang Wu

{"title":"[Research on automated orthodontic tooth arrangement by integrating multi-source structural information and dental arch prediction].","authors":"Yuhang Fang, Zheng Zhao, Hongbo Zheng, Xujia Qin, Yuanxiang Zhu, Zhengqiang Wu","doi":"10.7507/1001-5515.202510064","DOIUrl":"10.7507/1001-5515.202510064","url":null,"abstract":"To address the issues of time-consuming manual tooth alignment, reliance on physician experience, and insufficient structural constraints in automated methods in traditional orthodontic treatment planning, this paper proposes an automated tooth alignment network model that integrates multi-source geometric information learning. First, this study uses tooth mesh data as input to construct a graph convolution-based network for extracting tooth geometric features, fully utilizing the topological connectivity and local geometric features of the tooth model to enhance the extraction of tooth morphological features. Then, an arch line prediction network is designed to guide the teeth to align orderly along the natural arch line by explicitly modeling the tooth alignment trajectory, thereby ensuring the anatomical rationality and aesthetics of the overall structure. Based on this, this study designs collision avoidance loss and arch alignment loss to reduce geometric conflicts between adjacent teeth and constrain the overall posture, making the alignment results more stable and realistic. To verify the effectiveness of the method, validation experiments were conducted on multiple sets of real dental arch data, and comparisons were made with mainstream methods such as tooth alignment network (TaligNet), parameterized spatial transformation network (PSTN), and Transformer-based network for tooth alignment (TANet). The results show that the proposed method improves the evaluation metrics to varying degrees, fully integrates global and local geometric information, improves tooth posture coordination and alignment smoothness, and provides efficient and standardized intelligent support for digital orthodontic treatment planning.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"43 3","pages":"571-579"},"PeriodicalIF":0.0,"publicationDate":"2026-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13311048/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148346723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[Applications and challenges of ultra-high molecular weight polyethylene fibers in minimally invasive medical devices]. [超高分子量聚乙烯纤维在微创医疗器械中的应用与挑战]。

生物医学工程学杂志 Pub Date : 2026-06-25 DOI: 10.7507/1001-5515.202511021

Shuangyou Shi, Yongming Shi, Jintang Zhu, Xianning Shi, Ning Cui, Huashuai Cui, Zetian Zhang, Zongzi Hou, Weixin Wu, Pengfei Wu

{"title":"[Applications and challenges of ultra-high molecular weight polyethylene fibers in minimally invasive medical devices].","authors":"Shuangyou Shi, Yongming Shi, Jintang Zhu, Xianning Shi, Ning Cui, Huashuai Cui, Zetian Zhang, Zongzi Hou, Weixin Wu, Pengfei Wu","doi":"10.7507/1001-5515.202511021","DOIUrl":"10.7507/1001-5515.202511021","url":null,"abstract":"Ultra-high molecular weight polyethylene (UHMWPE) fiber has emerged as a critical material advancing the development of minimally invasive medical devices, owing to its exceptional specific strength, outstanding wear resistance, and inherent bio-inertia. We systematically review the current application landscape of UHMWPE fibers in minimally invasive medicine, highlighting their broad use in orthopedic sutures and fixation systems, reinforcement layers for cardiovascular interventional devices, cables to drive surgical robots, and materials in frontier neural interfaces. These applications underscore the material's core advantages across diverse scenarios. However, its broader clinical translation faces multiple challenges, including surface bio-inertia, long-term dynamic durability, difficulty in processing, and a lack of standardization. To address these challenges, this article delves into comprehensive strategies encompassing surface engineering, composite material development, structural optimization, and intelligent control algorithms. Looking forward, UHMWPE fibers are poised to evolve towards intelligence and functional integration. Through deep convergence with flexible electronics and data-driven research, coupled with the establishment of robust standardization systems, UHMWPE fibers are expected to play an even more pivotal role in the next generation of advanced minimally invasive medical devices, ultimately propelling the field towards greater precision and personalization.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"43 3","pages":"644-653"},"PeriodicalIF":0.0,"publicationDate":"2026-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13311037/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148346515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[A reweighted graph matching-based algorithm for automatic extraction of corresponding landmarks in medical images]. [一种基于重加权图匹配的医学图像中相应地标自动提取算法]。

生物医学工程学杂志 Pub Date : 2026-06-25 DOI: 10.7507/1001-5515.202510040

Yi Xu, Zhengang Jiang, Weili Shi, Yu Miao, Huamin Yang

{"title":"[A reweighted graph matching-based algorithm for automatic extraction of corresponding landmarks in medical images].","authors":"Yi Xu, Zhengang Jiang, Weili Shi, Yu Miao, Huamin Yang","doi":"10.7507/1001-5515.202510040","DOIUrl":"10.7507/1001-5515.202510040","url":null,"abstract":"In the field of medical image registration, corresponding landmarks can serve as an crucial reference for the quantitative evaluation of registration algorithm errors. However, the corresponding landmarks extracted by existing methods generally lack anatomical correspondence. While some approaches have begun to take bifurcation points of tubular structures as landmarks, the establishment of accurate one-to-one correspondences between these points is hindered by highly similar local features and missing correspondences, thereby impeding effective quantification of registration errors. To address these limitations, this paper proposes a reweighted graph matching-based algorithm for automatic extraction of corresponding landmarks in medical images. First, the bifurcation points of tubular structures with anatomical correspondence are extracted as landmarks. Secondly, to address the issues of highly similar local features and missing correspondences, a reweighted graph matching model is constructed base on a local similarity strategy and a modality independent neighborhood descriptor, which iteratively identifies correct matches and rectifies mismatches to progressively refine the correspondence between landmarks. Finally, the K-nearest neighbor graph of landmarks is dynamically updated, and outlier matches are filtered based on a local similarity strategy, thereby achieving accurate landmark matching under partial correspondence conditions. Experimental results on two public datasets demonstrate that the proposed method can accurately extract corresponding landmarks and effectively evaluate registration error, thereby providing technical support for enhancing the reliability of medical image registration algorithms in clinical applications.","PeriodicalId":39324,"journal":{"name":"生物医学工程学杂志","volume":"43 3","pages":"461-470"},"PeriodicalIF":0.0,"publicationDate":"2026-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13311033/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148346609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0