Special Issue on 4D Flow MRI in Magnetic Resonance in Medical Sciences

IF 2.5 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Magnetic Resonance in Medical Sciences Pub Date : 2022-03-22 DOI:10.2463/mrms.con.2022-2000
M. Markl
{"title":"Special Issue on 4D Flow MRI in Magnetic Resonance in Medical Sciences","authors":"M. Markl","doi":"10.2463/mrms.con.2022-2000","DOIUrl":null,"url":null,"abstract":"4D flow MRI has emerged as a versatile imaging technique for the in vivo measurement of cardiac and vascular 3D hemodynamics. The feasibility of 4D flow MRI was initially demonstrated by 3D visualizations of dynamic changes in blood flow patterns and their associations with different cardiovascular abnormalities, e.g., the impact of heart valve disease on deranged flow in the aorta and pulmonary artery. The continued evolution of 4D flowMRI over the past two decades comprised a shift from qualitative imaging of flow patterns toward a focus on quantitative analysis workflows, including standardized flow parameters (peak velocity, net flow, etc.) and also advanced hemodynamics measures, such as wall shear stress, to investigate the role of abnormal hemodynamics at play in vessel wall remodeling. In tandem with the development of reliable quantitative imaging parameters, there has been a focus on making 4D flow MRI faster and easier to use in the clinical setting. Novel acceleration techniques such as compressed sensing, and more recently, deep learning concepts, have reduced scan times to less than 5 minutes, a significant improvement from imaging sessions that, once regularly, take 20–30 minutes. In addition, interpretation of 4D flow MRI no longer requires a dedicated research team. Post-processing workflows have been streamlined; visualization and analysis of data have become more straightforward and are now readily integrated with commercially available software solutions for cardiovascular image analysis.","PeriodicalId":18119,"journal":{"name":"Magnetic Resonance in Medical Sciences","volume":"21 1","pages":"257 - 257"},"PeriodicalIF":2.5000,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Magnetic Resonance in Medical Sciences","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2463/mrms.con.2022-2000","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0

Abstract

4D flow MRI has emerged as a versatile imaging technique for the in vivo measurement of cardiac and vascular 3D hemodynamics. The feasibility of 4D flow MRI was initially demonstrated by 3D visualizations of dynamic changes in blood flow patterns and their associations with different cardiovascular abnormalities, e.g., the impact of heart valve disease on deranged flow in the aorta and pulmonary artery. The continued evolution of 4D flowMRI over the past two decades comprised a shift from qualitative imaging of flow patterns toward a focus on quantitative analysis workflows, including standardized flow parameters (peak velocity, net flow, etc.) and also advanced hemodynamics measures, such as wall shear stress, to investigate the role of abnormal hemodynamics at play in vessel wall remodeling. In tandem with the development of reliable quantitative imaging parameters, there has been a focus on making 4D flow MRI faster and easier to use in the clinical setting. Novel acceleration techniques such as compressed sensing, and more recently, deep learning concepts, have reduced scan times to less than 5 minutes, a significant improvement from imaging sessions that, once regularly, take 20–30 minutes. In addition, interpretation of 4D flow MRI no longer requires a dedicated research team. Post-processing workflows have been streamlined; visualization and analysis of data have become more straightforward and are now readily integrated with commercially available software solutions for cardiovascular image analysis.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
医学磁共振4D流MRI特刊
4D血流MRI已成为一种多功能的成像技术,用于体内测量心脏和血管的3D血流动力学。4D血流MRI的可行性最初是通过血流模式动态变化的3D可视化及其与不同心血管异常的关联来证明的,例如,心脏瓣膜疾病对主动脉和肺动脉紊乱血流的影响。在过去的二十年里,4D flowMRI的持续发展包括从流动模式的定性成像向定量分析工作流程的转变,包括标准化的流动参数(峰值速度,净流量等)和先进的血流动力学测量,如壁剪切应力,以研究异常血流动力学在血管壁重塑中的作用。随着可靠的定量成像参数的发展,人们一直致力于使4D血流MRI在临床环境中更快、更容易使用。新的加速技术,如压缩传感,以及最近的深度学习概念,已经将扫描时间缩短到5分钟以内,这是一个显著的改进,以前的成像过程需要20-30分钟。此外,4D流MRI的解释不再需要专门的研究团队。后处理工作流程已得到精简;数据的可视化和分析变得更加直接,现在很容易与商业上可用的心血管图像分析软件解决方案集成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Magnetic Resonance in Medical Sciences
Magnetic Resonance in Medical Sciences RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
5.80
自引率
20.00%
发文量
71
审稿时长
>12 weeks
期刊介绍: Magnetic Resonance in Medical Sciences (MRMS or Magn Reson Med Sci) is an international journal pursuing the publication of original articles contributing to the progress of magnetic resonance in the field of biomedical sciences including technical developments and clinical applications. MRMS is an official journal of the Japanese Society for Magnetic Resonance in Medicine (JSMRM).
期刊最新文献
Evaluating Biliary Malignancy with Measured and Calculated Ultra-high b-value Diffusion-weighted MR Imaging at 3T. Diagnostic Utility of an Adjusted DWI Lexicon Using Multiple b-values to Evaluate Breast Lesions in Combination with BI-RADS. Blockage of CSF Outflow in Rats after Deep Cervical Lymph Node Ligation Observed Using Gd-based MR Imaging. A Versatile MR Elastography Research Tool with a Modified Motion Signal-to-noise Ratio Approach. Comparison of Slab and Pencil Beam Labeling in Spin-labeled MR Imaging for Pancreatic Juice Flow Visualization.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1