External Dynamic InTerference Estimation and Removal (EDITER) for low field MRI
Sai Abitha Srinivas, Stephen F Cauley, Jason P Stockmann, Charlotte R Sappo, Christopher E Vaughn, Lawrence L Wald, William A Grissom, Clarissa Z Cooley
Purpose: Point-of-care MRI requires operation outside of a faraday shielded room normally used to block image-degrading electromagnetic Interference (EMI). To address this, we introduce the EDITER method, an external sensor based dynamic EMI estimation and removal method to retrospectively remove time-varying external interference sources.
Theory and Methods: The method acquires data from multiple EMI detectors (tuned receive coils and electrodes placed on the body) simultaneous with the primary MR coil during image data acquisition. We dynamically calculate impulse response functions that map the data from the detectors to the artifacts in the kspace data, then remove the transformed detected EMI from the MR data. Performance of the EDITER algorithm was assessed in phantom and in vivo imaging experiments in an 80mT portable brain MRI in a controlled EMI environment and with an open 47.5mT MRI scanner in an uncontrolled EMI setting.
Results: In the controlled setting, the effectiveness of the EDITER technique was demonstrated for specific types of introduced EMI sources with up to a 97% reduction of structured EMI and up to 76% reduction of broadband EMI. In the uncontrolled EMI experiments, we demonstrate EMI reductions of 37% with a single pickup coil and 89% with a single electrode and up to 99% with both.
Conclusion: The EDITER technique is a flexible and robust method to improve image quality in portable MRI systems with minimal passive shielding. This could reduce the reliance of MRI on shielded rooms and allow for truly portable MRI with specialized compact POC scanners
Deep Learning Assisted Outer Volume Removal for Highly-Accelerated Real-Time Dynamic MRI
Department of Electrical and Computer Engineering, University of Minnesota（电气与计算机工程系，明尼苏达大学）；Center for Magnetic Resonance Research, University of Minnesota（磁共振研究中心，明尼苏达大学）；Department of Imaging Physics, Delft University of Technology（成像物理系，代尔夫特理工大学）；HollandPTC, Delft, the Netherlands（HollandPTC，代尔夫特，荷兰）
Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model
Xidian University（西安电子科技大学）；Guangdong Provincial People’s Hospital（广东省人民医院）；Southern Medical University（南方医科大学）；Xiangyang No. 1 People’s Hospital（襄阳市第一人民医院）；Hubei University of Medicine（湖北医药学院）；Chongqing University of Posts and Telecommunications（重庆邮电大学）
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction
Xiamen University（厦门大学）；Fudan University（复旦大学）；Philips Healthcare（飞利浦医疗保健）；Siemens Healthineers Ltd.（西门子医疗有限公司）；United Imaging Research Institute of Intelligent Imaging（联合智能影像研究所）；Nanjing First Hospital（南京市第一医院）；Shandong Aoxin Medical Technology Company（山东奥新医疗科技有限公司）；The First Affiliated Hospital of Xiamen University（厦门大学附属第一医院）；Zhongshan Hospital Affiliated to Xiamen University（厦门大学附属中山医院）；Zhongshan Hospital, Fudan University（复旦大学附属中山医院）；Ruijin Hospital, Shanghai Jiaotong University School of Medicine（上海交通大学医学院附属瑞金医院）；The First Affiliated Hospital of Kunming Medical University（昆明医科大学第一附属医院）；Xiamen University of Technology（厦门理工学院）；Imperial College London（帝国理工学院）
Athinoula A. Martinos Center for Biomedical Imaging（阿西努拉·A·马蒂诺斯生物医学成像中心）；Massachusetts General Hospital（麻省总医院）；Harvard Medical School（哈佛医学院）；Massachusetts Institute of Technology（麻省理工学院）；Harvard-MIT Division of Health Sciences and Technology（哈佛-麻省理工学院健康科学与技术部）
Lightweight Medical Image Restoration via Integrating Reliable Lesion-Semantic Driven Prior
University of Electronic Science and Technology of China（电子科技大学）；City University of Hong Kong（香港城市大学）；Mohamed bin Zayed University of Artificial Intelligence（穆罕默德·本·扎耶德人工智能大学）；Shenzhen Institute For Advanced Study, University of Electronic Science and Technology of China（电子科技大学深圳研究院）
Weakly-supervised Learning for Single-step Quantitative Susceptibility Mapping
Center for Imaging Research, Medical College of Wisconsin（威斯康星医学院成像研究中心）；Department of Biomedical Engineering, Marquette University and Medical College of Wisconsin（马凯特大学与威斯康星医学院生物医学工程系）；Department of Radiology, Medical College of Wisconsin（威斯康星医学院放射学系）
