IEEE Transactions on Medical Imaging最新文献

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Machine Learning Approach to 3×4 Mueller Polarimetry for Complete Reconstruction of Diagnostic Polarimetric Images of Biological Tissues. 机器学习方法3×4米勒偏振仪完全重建诊断的生物组织的偏振图像。
IF 10.6 1区 医学
IEEE Transactions on Medical Imaging Pub Date : 2025-05-06 DOI: 10.1109/tmi.2025.3567570
Sooyong Chae,Tongyu Huang,Omar Rodriguez-Nunez,Theotim Lucas,Jean-Charles Vanel,Jeremy Vizet,Angelo Pierangelo,Gennadii Piavchenko,Tsanislava Genova,Ajmal Ajmal,Jessica C Ramella-Roman,Alexander Doronin,Hui Ma,Tatiana Novikova
{"title":"Machine Learning Approach to 3×4 Mueller Polarimetry for Complete Reconstruction of Diagnostic Polarimetric Images of Biological Tissues.","authors":"Sooyong Chae,Tongyu Huang,Omar Rodriguez-Nunez,Theotim Lucas,Jean-Charles Vanel,Jeremy Vizet,Angelo Pierangelo,Gennadii Piavchenko,Tsanislava Genova,Ajmal Ajmal,Jessica C Ramella-Roman,Alexander Doronin,Hui Ma,Tatiana Novikova","doi":"10.1109/tmi.2025.3567570","DOIUrl":"https://doi.org/10.1109/tmi.2025.3567570","url":null,"abstract":"The translation of imaging Mueller polarimetry to clinical practice is often hindered by large footprint and relatively slow acquisition speed of the existing instruments. Using polarization-sensitive camera as a detector may reduce instrument dimensions and allow data streaming at video rate. However, only the first three rows of a complete 4×4 Mueller matrix can be measured. To overcome this hurdle we developed a machine learning approach using sequential neural network algorithm for the reconstruction of missing elements of a Mueller matrix from the measured elements of the first three rows. The algorithm was trained and tested on the dataset of polarimetric images of various excised human tissues (uterine cervix, colon, skin, brain) acquired with two different imaging Mueller polarimeters operating in either reflection (wide-field imaging system) or transmission (microscope) configurations at different wavelengths of 550 nm and 385 nm, respectively. Reconstruction performance was evaluated using various error metrics, all of which confirmed low error values. The reconstruction of full images of the fourth row of Mueller matrix with GPU parallelization and increasing batch size took less than 50 milliseconds. It suggests that a machine learning approach with parallel processing of all image pixels combined with the partial Mueller polarimeter operating at video rate can effectively substitute for the complete Mueller polarimeter and produce accurate maps of depolarization, linear retardance and orientation of the optical axis of biological tissues, which can be used for medical diagnosis in clinical settings.","PeriodicalId":13418,"journal":{"name":"IEEE Transactions on Medical Imaging","volume":"20 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143915077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dino-Reg: Efficient Multimodal Image Registration with Distilled Features. Dino-Reg:高效的多模态图像配准与蒸馏特征。
IF 10.6 1区 医学
IEEE Transactions on Medical Imaging Pub Date : 2025-05-06 DOI: 10.1109/tmi.2025.3567247
Xinrui Song,Xuanang Xu,Jiajin Zhang,Diego Machado Reyes,Pingkun Yan
{"title":"Dino-Reg: Efficient Multimodal Image Registration with Distilled Features.","authors":"Xinrui Song,Xuanang Xu,Jiajin Zhang,Diego Machado Reyes,Pingkun Yan","doi":"10.1109/tmi.2025.3567247","DOIUrl":"https://doi.org/10.1109/tmi.2025.3567247","url":null,"abstract":"Medical image registration is a crucial process for aligning anatomical structures, enabling applications such as atlas mapping, longitudinal analysis, and multimodal data fusion. This paper introduces DINO-Reg, an adaptation-free registration method leveraging the vision foundation model, DINOv2, to extract features for deformable 3D medical image alignment. Although DINOv2 was originally trained on natural images, our study links the vision foundation model with medical image registration and demonstrates that the generic image encoder could readily generalize to medical images with state-of-the-art performance. We further propose DINO-Reg-Eco, a knowledge-distilled version using a UNet-structured 3D convolutional neural network (CNN) for feature extraction. The Eco model reduces encoding time by 99% while maintaining state-of-the-art performance, which is essential for resource-limited settings and significantly lowers the carbon footprint associated with intensive computational demands. Benchmarking across diverse datasets shows that both methods outperform existing supervised and unsupervised approaches without fine-tuning, demonstrating the transformative potential of foundation models in medical image registration. Our code is open-sourced at https: //github.com/RPIDIAL/DINO-Reg.","PeriodicalId":13418,"journal":{"name":"IEEE Transactions on Medical Imaging","volume":"38 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143915041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Representation learning in PET scans enhanced by semantic and 3D position specific characteristics 语义和三维位置特征增强PET扫描表征学习
IF 10.6 1区 医学
IEEE Transactions on Medical Imaging Pub Date : 2025-05-05 DOI: 10.1109/tmi.2025.3566996
Theodoros P. Vagenas, Maria Vakalopoulou, Christos Sachpekidis, Antonia Dimitrakopoulou-Strauss, George K. Matsopoulos
{"title":"Representation learning in PET scans enhanced by semantic and 3D position specific characteristics","authors":"Theodoros P. Vagenas, Maria Vakalopoulou, Christos Sachpekidis, Antonia Dimitrakopoulou-Strauss, George K. Matsopoulos","doi":"10.1109/tmi.2025.3566996","DOIUrl":"https://doi.org/10.1109/tmi.2025.3566996","url":null,"abstract":"","PeriodicalId":13418,"journal":{"name":"IEEE Transactions on Medical Imaging","volume":"113 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143909861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An End-to-End Deep Learning Generative Framework for Refinable Shape Matching and Generation 基于端到端深度学习的可细化形状匹配生成框架
IF 10.6 1区 医学
IEEE Transactions on Medical Imaging Pub Date : 2025-05-05 DOI: 10.1109/tmi.2025.3562756
Soodeh Kalaie, Andy Bulpitt, Alejandro F. Frangi, Ali Gooya
{"title":"An End-to-End Deep Learning Generative Framework for Refinable Shape Matching and Generation","authors":"Soodeh Kalaie, Andy Bulpitt, Alejandro F. Frangi, Ali Gooya","doi":"10.1109/tmi.2025.3562756","DOIUrl":"https://doi.org/10.1109/tmi.2025.3562756","url":null,"abstract":"","PeriodicalId":13418,"journal":{"name":"IEEE Transactions on Medical Imaging","volume":"9 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143909862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans CT扫描胰腺癌分割的双任务协同驱动泛化框架
IF 10.6 1区 医学
IEEE Transactions on Medical Imaging Pub Date : 2025-05-02 DOI: 10.1109/tmi.2025.3566376
Jun Li, Yijue Zhang, Haibo Shi, Minhong Li, Qiwei Li, Xiaohua Qian
{"title":"A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans","authors":"Jun Li, Yijue Zhang, Haibo Shi, Minhong Li, Qiwei Li, Xiaohua Qian","doi":"10.1109/tmi.2025.3566376","DOIUrl":"https://doi.org/10.1109/tmi.2025.3566376","url":null,"abstract":"","PeriodicalId":13418,"journal":{"name":"IEEE Transactions on Medical Imaging","volume":"112 1","pages":"1-1"},"PeriodicalIF":10.6,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143901418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Transfontanelle Thermoacoustic Imaging of Intraventricular Brain Hemorrhages in Live Sheep 活羊脑室内出血的经囟门热声成像
IF 10.6 1区 医学
IEEE Transactions on Medical Imaging Pub Date : 2025-05-02 DOI: 10.1109/tmi.2025.3566372
Md Tarikul Islam, Juliana Benavides, Ravi Prakash, Mohsin Zafar, Laura McGuire, Fady Charbel, Amanda P. Siegel, Danilo Erricolo, James Lin, Juri G. Gelovani, Kamran Avanaki
{"title":"Transfontanelle Thermoacoustic Imaging of Intraventricular Brain Hemorrhages in Live Sheep","authors":"Md Tarikul Islam, Juliana Benavides, Ravi Prakash, Mohsin Zafar, Laura McGuire, Fady Charbel, Amanda P. Siegel, Danilo Erricolo, James Lin, Juri G. Gelovani, Kamran Avanaki","doi":"10.1109/tmi.2025.3566372","DOIUrl":"https://doi.org/10.1109/tmi.2025.3566372","url":null,"abstract":"","PeriodicalId":13418,"journal":{"name":"IEEE Transactions on Medical Imaging","volume":"44 1","pages":"1-1"},"PeriodicalIF":10.6,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143901367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
LLM-guided Decoupled Probabilistic Prompt for Continual Learning in Medical Image Diagnosis 医学影像诊断中持续学习的llm引导解耦概率提示
IF 10.6 1区 医学
IEEE Transactions on Medical Imaging Pub Date : 2025-05-01 DOI: 10.1109/tmi.2025.3566105
Yiwen Luo, Wuyang Li, Cheng Chen, Xiang Li, Tianming Liu, Tianye Niu, Yixuan Yuan
{"title":"LLM-guided Decoupled Probabilistic Prompt for Continual Learning in Medical Image Diagnosis","authors":"Yiwen Luo, Wuyang Li, Cheng Chen, Xiang Li, Tianming Liu, Tianye Niu, Yixuan Yuan","doi":"10.1109/tmi.2025.3566105","DOIUrl":"https://doi.org/10.1109/tmi.2025.3566105","url":null,"abstract":"","PeriodicalId":13418,"journal":{"name":"IEEE Transactions on Medical Imaging","volume":"9 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143898244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Digital Staining with Knowledge Distillation: A Unified Framework for Unpaired and Paired-But-Misaligned Data 知识蒸馏的数字染色:未配对和配对但不对齐数据的统一框架
IF 10.6 1区 医学
IEEE Transactions on Medical Imaging Pub Date : 2025-05-01 DOI: 10.1109/tmi.2025.3565329
Ziwang Xu, Lanqing Guo, Satoshi Tsutsui, Shuyan Zhang, Alex C. Kot, Bihan Wen
{"title":"Digital Staining with Knowledge Distillation: A Unified Framework for Unpaired and Paired-But-Misaligned Data","authors":"Ziwang Xu, Lanqing Guo, Satoshi Tsutsui, Shuyan Zhang, Alex C. Kot, Bihan Wen","doi":"10.1109/tmi.2025.3565329","DOIUrl":"https://doi.org/10.1109/tmi.2025.3565329","url":null,"abstract":"","PeriodicalId":13418,"journal":{"name":"IEEE Transactions on Medical Imaging","volume":"34 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143898274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation Mamba-Sea:一种基于mamba的全局到局部序列增强框架,用于广义医学图像分割
IF 10.6 1区 医学
IEEE Transactions on Medical Imaging Pub Date : 2025-04-30 DOI: 10.1109/tmi.2025.3564765
Zihan Cheng, Jintao Guo, Jian Zhang, Lei Qi, Luping Zhou, Yinghuan Shi, Yang Gao
{"title":"Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation","authors":"Zihan Cheng, Jintao Guo, Jian Zhang, Lei Qi, Luping Zhou, Yinghuan Shi, Yang Gao","doi":"10.1109/tmi.2025.3564765","DOIUrl":"https://doi.org/10.1109/tmi.2025.3564765","url":null,"abstract":"","PeriodicalId":13418,"journal":{"name":"IEEE Transactions on Medical Imaging","volume":"25 1","pages":"1-1"},"PeriodicalIF":10.6,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143893129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge 基于ribrrac挑战的CT深肋骨骨折实例分割与分类
IF 10.6 1区 医学
IEEE Transactions on Medical Imaging Pub Date : 2025-04-30 DOI: 10.1109/tmi.2025.3565514
Jiancheng Yang, Rui Shi, Liang Jin, Xiaoyang Huang, Kaiming Kuang, Donglai Wei, Shixuan Gu, Jianying Liu, Pengfei Liu, Zhizhong Chai, Yongjie Xiao, Hao Chen, Liming Xu, Bang Du, Xiangyi Yan, Hao Tang, Adam Alessio, Gregory Holste, Jiapeng Zhang, Xiaoming Wang, Jianye He, Lixuan Che, Hanspeter Pfister, Ming Li, Bingbing Ni
{"title":"Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge","authors":"Jiancheng Yang, Rui Shi, Liang Jin, Xiaoyang Huang, Kaiming Kuang, Donglai Wei, Shixuan Gu, Jianying Liu, Pengfei Liu, Zhizhong Chai, Yongjie Xiao, Hao Chen, Liming Xu, Bang Du, Xiangyi Yan, Hao Tang, Adam Alessio, Gregory Holste, Jiapeng Zhang, Xiaoming Wang, Jianye He, Lixuan Che, Hanspeter Pfister, Ming Li, Bingbing Ni","doi":"10.1109/tmi.2025.3565514","DOIUrl":"https://doi.org/10.1109/tmi.2025.3565514","url":null,"abstract":"","PeriodicalId":13418,"journal":{"name":"IEEE Transactions on Medical Imaging","volume":"18 1","pages":"1-1"},"PeriodicalIF":10.6,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143893128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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