Cloud-magnetic resonance imaging system:In the era of 6G and artificial intelligence  

作　　者：Yirong Zhou Yanhuang Wu Yuhan Su Jing Li Jianyu Cai Yongfu You Jianjun Zhou Di Guo Xiaobo Qu 

机构地区：[1]Department of Electronic Science,Intelligent Medical Imaging R&D Center,Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance,National Institute for Data Science in Health and Medicine,Xiamen University,Xiamen,361104,China [2]Department of Electronic Science,Key Laboratory of Digital Fujian on IoT Communication,Xiamen University,Xiamen,361104,China [3]Shanghai Electric Group Co.,Ltd,Shanghai,200002,China [4]China Telecom Group,Quanzhou,362018,China [5]China Mobile Group,Xiamen,361009,China [6]Department of Radiology,Zhongshan Hospital(Xiamen),Fudan University,Xiamen Municipal Clinical Research Center for Medical Imaging,Fujian Province Key Clinical Specialty Construction Project(Medical Imaging Department),Xiamen Key Laboratory of Clinical Transformation of Imaging Big Data and Artificial Intelligence,Xiamen,361006,China [7]School of Computer and Information Engineering,Xiamen University of Technology,Xiamen,361024,China

出　　处：《Magnetic Resonance Letters》2025年第1期52-63,共12页磁共振快报(英文)

基　　金：supported by the National Natural Science Foundation of China(62122064,62331021,62371410);the Natural Science Foundation of Fujian Province of China(2023J02005 and 2021J011184);the President Fund of Xiamen University(20720220063);the Nanqiang Outstanding Talents Program of Xiamen University.

摘　　要：Magnetic resonance imaging(MRI)plays an important role in medical diagnosis,generating petabytes of image data annually in large hospitals.This voluminous data stream requires a significant amount of network bandwidth and extensive storage infrastructure.Additionally,local data processing demands substantial manpower and hardware investments.Data isolation across different healthcare institutions hinders crossinstitutional collaboration in clinics and research.In this work,we anticipate an innovative MRI system and its four generations that integrate emerging distributed cloud computing,6G bandwidth,edge computing,federated learning,and blockchain technology.This system is called Cloud-MRI,aiming at solving the problems of MRI data storage security,transmission speed,artificial intelligence(AI)algorithm maintenance,hardware upgrading,and collaborative work.The workflow commences with the transformation of k-space raw data into the standardized Imaging Society for Magnetic Resonance in Medicine Raw Data(ISMRMRD)format.Then,the data are uploaded to the cloud or edge nodes for fast image reconstruction,neural network training,and automatic analysis.Then,the outcomes are seamlessly transmitted to clinics or research institutes for diagnosis and other services.The Cloud-MRI system will save the raw imaging data,reduce the risk of data loss,facilitate inter-institutional medical collaboration,and finally improve diagnostic accuracy and work efficiency.

关 键 词：Magnetic resonance imaging Cloud computing 6G bandwidth Artificial intelligence Edge computing Federated learning Blockchain 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]