Physics-Guided Dual-Domain Network with Attention-Based Fusion for Portable MRI Reconstruction
Leiden University Medical Center（莱顿大学医学中心）
Efe Ilıcak, Baris Imre, Chloé Najac, Ruben van den Broek, Beatrice Lena, Andrew Webb, Marius Staring
备注：
Accepted to 2026 IEEE International Symposium on Biomedical Imaging (ISBI). Copyright 2026 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses
Portable low-field magnetic resonance imaging (MRI) systems have gained renewed interest owing to their cost effectiveness and point-of-care imaging capabilities. Yet, portable MRI systems suffer from relatively low signal-to-noise ratio and limited hardware capabilities. While previous works have proposed the use of deep learning based reconstruction methods to improve low-field image quality, these operated only in the image-domain. Unlike other imaging modalities, MRI directly acquires data in the Fourier-domain (k-space), and exploiting both k-space and image-domain information can improve reconstruction quality. Here, we introduce DUN-DD, a novel physics-guided 3D network for portable MRI reconstruction, with parallel dual-domain branches whose outputs are combined together via an attention-based fusion network. To demonstrate the performance of the proposed method, we present \textit{in vivo} reconstructions obtained from both emulated datasets as well as images acquired with a 47mT Halbach-based portable MRI system. Our results show that DUN-DD outperforms state-of-the-art classical, data-driven, and physics-guided methods on both emulated and real portable MRI acquisitions.
Portable surrogate-free 4D MRI from standard fast multi-slice 2D MRI via implicit neural representations
Paul Scherrer Institut（保罗谢尔研究所）；ETH Zurich（苏黎世联邦理工学院）；University Hospital Basel（巴塞尔大学医院）；University of Basel（巴塞尔大学）；Institute for Biomedical Engineering, University and ETH Zurich（苏黎世大学与苏黎世联邦理工学院生物医学工程研究所）
A Reference System for Open Source Portable Low-Field MRI
Physikalisch-Technische Bundesanstalt (PTB) Braunschweig and Berlin（德国联邦物理技术研究院）；Berlin Center for Advanced Neuroimaging, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health（柏林高级神经影像中心，夏里特医院—柏林大学医学院（柏林自由大学、柏林洪堡大学和柏林健康研究所的联合成员））；Instituto Nazionale di Ricerca Metrologica (INRiM)（意大利国家计量研究所）；Institute of Biomedical Imaging, Graz University of Technology（格拉茨工业大学生物医学成像研究所）；Department of Biomedical Engineering, Eindhoven University of Technology（埃因霍温理工大学生物医学工程系）；Division of Medical Physics, Department of Radiology, Medical Center – University of Freiburg, Faculty of Medicine – University of Freiburg（弗莱堡大学医学院医学中心放射科医学物理分部）
Qualitative and quantitative hard-tissue MRI with portable Halbach scanners
MRILab, Institute for Molecular Imaging and Instrumentation (i3M), Spanish National Research Council (CSIC) and Universitat Politècnica de València (UPV)（分子成像与仪器研究所 (i3M)，西班牙国家研究理事会 (CSIC) 和瓦伦西亚理工大学 (UPV)）；Full Body Insight S.L.；PhysioMRI Tech S.L.
A Portable Brain MRI Scanner for Underserved Settings and Point-Of-Care Imaging
Athinoula A. Martinos Center for Biomedical Imaging, Dept. of Radiology, Massachusetts General Hospital（阿西努拉·A·马丁诺斯生物医学成像中心放射科麻省总医院）；Harvard Medical School（哈佛医学院）；Dept. of Electrical Engineering, Massachusetts Institute of Technology（麻省理工学院电气工程系）；Dept. of Physics, Harvard University（哈佛大学物理系）；Dept. of Radiology, Massachusetts General Hospital（麻省总医院放射科）；Harvard-MIT Division of Health Sciences and Technology（哈佛-麻省理工健康科学与技术学部）
Design and performance of a Toroidal RF Volume Coil with Intrinsic Electromagnetic Interference Rejection for low-field Portable Halbach-Based MRI Systems
A Review of Electromagnetic Elimination Methods for low-field portable MRI scanner
Harvard Medical School（哈佛医学院）；University of Michigan（密歇根大学）；Harvard University（哈佛大学）；New York University（纽约大学）；Columbia University（哥伦比亚大学）；Guangxi University（广西大学）
The Role of Free-breathing GRASP MRI in Accurate Phase Matching with 4D-CT for Motion Representation in Liver Cancer Radiotherapy
Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology（华中科技大学同济医学院同济医院）；Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College（中国医学科学院北京协和医学院肿瘤医院/国家癌症中心/国家临床医学研究中心放射肿瘤科）；School of Electronic Engineering, Beijing University of Posts and Telecommunications（北京邮电大学电子工程学院）
Subject grounding to reduce electromagnetic interference for MRI scanners operating in unshielded environments
Leiden University Medical Center（莱顿大学医学中心）；Instituto de Instrumentación para Imagen Molecular (I3M), Centro Mixto CSIC-Universitat Politècnica de València（分子影像仪器研究所（I3M），CSIC-瓦伦西亚理工大学联合中心）
Birth of the Coil: another Milestone towards a fully reproducible low-field MRI scanner for head-imaging
Istituto Nazionale di Ricerca Metrologica (INRiM)（意大利国家计量研究所）；Institute of Biomedical Imaging, Graz University of Technology（格拉茨工业大学生物医学成像研究所）；Physikalisch-Technische Bundesanstalt (PTB) Braunschweig and Berlin（德国联邦物理技术研究院）；Universidad Comunera（科穆内拉大学）；University of Alberta（阿尔伯塔大学）；Cross Cancer Institute（交叉癌症研究所）
A fully open-source framework for streaming and cloud-processing of low-field MRI data
Institute for Molecular Imaging and Instrumentation (i3M), Consejo Superior de Investigaciones Científicas (CSIC) & Universitat Politècnica de València (UPV)（分子成像与仪器研究所，西班牙国家研究委员会及巴伦西亚理工大学）；Microsoft Research, Health Futures（微软研究院健康未来部门）；Full Body Insight. S.L.（全身体洞察有限公司）；PhysioMRI Tech. S.L.（物理磁共振技术有限公司）；Leiden University Medical Center (LUMC)（莱顿大学医学中心）；Yale University（耶鲁大学）
SIREM: Speech-Informed MRI Reconstruction with Learned Sampling
Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg（埃森哲-埃尔朗根-纽伦堡大学模式识别实验室）；Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg（埃尔朗根大学医院放射学研究所）；Institut für Informationsverarbeitung, Leibniz Universität Hannover（汉诺威莱比锡大学信息处理研究所）；Department of Radiology, Harvard Medical School and Massachusetts General Hospital（哈佛医学院放射科和麻省总医院）
