Advancements in 7T magnetic resonance diffusion imaging:Technological innovations and applications in neuroimaging  

作　　者：Lisha Nie Siyi Li Bing Wu Yuhui Xiong Jeffrey McGovern Yunling Wang Huilou Liang 

机构地区：[1]GE Healthcare,MR Research China,Beijing,China [2]Department of Radiology,and Functional and Molecular Imaging Key Laboratory of Sichuan Province,West China Hospital of Sichuan University,Chengdu,Sichuan Province,China [3]Huaxi MR Research Center(HMRRC),West China Hospital of Sichuan University,Chengdu,Sichuan Province,China [4]Research Unit of Psychoradiology,Chinese Academy of Medical Sciences,Chengdu,Sichuan Province,China [5]GE HealthCare,Waukesha,Wisconsin,USA [6]Department of Radiology,the First Affiliated Hospital of Xinjiang Medical University,Urumqi,the Xinjiang Uygur Autonomous Region,China

出　　处：《iRADIOLOGY》2024年第4期377-386,共10页融合影像学(英文)

摘　　要：The development of 7‐Tesla(7T)magnetic resonance imaging systems has opened new avenues for exploring the advantages of diffusion imaging at higher field strengths,especially in neuroscience research.This review investigates whether 7T diffusion imaging offers significant benefits over lower field strengths by addressing the following:Technical challenges and corresponding strategies:Challenges include achieving shorter transverse relaxation/effective transverse relaxation times and greater B0 and B1 inhomogeneities.Advanced techniques including high‐performance gradient systems,parallel imaging,multi‐shot acquisition,and parallel transmission can mitigate these issues.Comparison of 3‐Tesla and 7T diffusion imaging:Technologies such as multiplexed sensitivity encoding and deep learning reconstruction(DLR)have been developed to mitigate artifacts and improve image quality.This comparative analysis demonstrates significant improvements in the signal‐to‐noise ratio and spatial resolution at 7T with a powerful gradient system,facilitating enhanced visualization of microstructural changes.Despite greater geometric distortions and signal inhomogeneity at 7T,the system shows clear advantages in high b‐value imaging and highresolution diffusion tensor imaging.Additionally,multiplexed sensitivity encoding significantly reduces image blurring and distortion,and DLR substantially improves the signal‐to‐noise ratio and image sharpness.7T diffusion applications in structural analysis and disease characterization:This review discusses the potential applications of 7T diffusion imaging in structural analysis and disease characterization.

关 键 词：7T MRI B0 inhomogeneity B1 inhomogeneity deep learning reconstruction diffusion imaging disease characterization multiplexed sensitivity encoding NEUROIMAGING structural analysis 

分 类 号：TG1[金属学及工艺—金属学]