Deep Learning for Spine MRI: Reducing Time Not Quality

医学 梅德林 人工智能 医学物理学 核医学 计算机科学 政治学 法学
作者
James Thomas Patrick Decourcy Hallinan
出处
期刊:Radiology [Radiological Society of North America]
卷期号:306 (3)
标识
DOI:10.1148/radiol.222410
摘要

HomeRadiologyVol. 306, No. 3 PreviousNext Reviews and CommentaryEditorialDeep Learning for Spine MRI: Reducing Time Not QualityJames Thomas Patrick Decourcy Hallinan James Thomas Patrick Decourcy Hallinan Author AffiliationsFrom the Department of Diagnostic Imaging, National University Hospital, 5 Lower Kent Ridge Rd, Singapore 119074; and Department of Diagnostic Radiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.Address correspondence to the author (email: [email protected]).James Thomas Patrick Decourcy Hallinan Published Online:Nov 1 2022https://doi.org/10.1148/radiol.222410MoreSectionsFull textPDF ToolsImage ViewerAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookTwitterLinked In References1. Katz JN, Zimmerman ZE, Mass H, Makhni MC. Diagnosis and Management of Lumbar Spinal Stenosis: A Review. JAMA 2022;327(17):1688–1699. Crossref, Medline, Google Scholar2. Zeng G, Guo Y, Zhan J, et al. A review on deep learning MRI reconstruction without fully sampled k-space. BMC Med Imaging 2021;21(1):195. Crossref, Medline, Google Scholar3. Antun V, Renna F, Poon C, Adcock B, Hansen AC. On instabilities of deep learning in image reconstruction and the potential costs of AI. Proc Natl Acad Sci U S A 2020;117(48):30088–30095. Crossref, Medline, Google Scholar4. Almansour H, Herrmann J, Gassenmaier S, et al. Deep learning reconstruction for accelerated spine MRI: prospective analysis of interchangeability. Radiology 2023;306(3):e212922. https://doi.org/10.1148/radiol.212922. Published online November 1, 2022. Google Scholar5. Johnson PM, Recht MP, Knoll F. Improving the Speed of MRI with Artificial Intelligence. Semin Musculoskelet Radiol 2020;24(1):12–20. Crossref, Medline, Google Scholar6. Gassenmaier S, Afat S, Nickel D, Mostapha M, Herrmann J, Othman AE. Deep learning-accelerated T2-weighted imaging of the prostate: Reduction of acquisition time and improvement of image quality. Eur J Radiol 2021;137:109600. Crossref, Medline, Google Scholar7. Gassenmaier S, Afat S, Nickel MD, et al. Accelerated T2-Weighted TSE Imaging of the Prostate Using Deep Learning Image Reconstruction: A Prospective Comparison with Standard T2-Weighted TSE Imaging. Cancers (Basel) 2021;13(14):3593. Crossref, Medline, Google Scholar8. Herrmann J, Keller G, Gassenmaier S, et al. Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard MRI protocol. Eur Radiol 2022;32(9):6215–6229. Crossref, Medline, Google Scholar9. Del Grande F, Rashidi A, Luna R, et al. Five-Minute Five-Sequence Knee MRI Using Combined Simultaneous Multislice and Parallel Imaging Acceleration: Comparison with 10-Minute Parallel Imaging Knee MRI. Radiology 2021;299(3):635–646. Link, Google Scholar10. Bash S, Johnson B, Gibbs W, Zhang T, Shankaranarayanan A, Tanenbaum LN. Deep Learning Image Processing Enables 40% Faster Spinal MR Scans Which Match or Exceed Quality of Standard of Care : A Prospective Multicenter Multireader Study. Clin Neuroradiol 2022;32(1):197–203. Crossref, Medline, Google ScholarArticle HistoryReceived: Sept 1 2022Revision requested: Sept 30 2022Revision received: Oct 1 2022Accepted: Oct 5 2022Published online: Nov 01 2022 FiguresReferencesRelatedDetailsAccompanying This ArticleDeep Learning Reconstruction for Accelerated Spine MRI: Prospective Analysis of InterchangeabilityNov 1 2022RadiologyRecommended Articles Deep Learning Reconstruction for Accelerated Spine MRI: Prospective Analysis of InterchangeabilityRadiology2022Volume: 306Issue: 3Establishing a New Normal: The 5-Minute MRIRadiology2021Volume: 299Issue: 3pp. 647-648Uncommon Manifestations of Intervertebral Disk Pathologic ConditionsRadioGraphics2016Volume: 36Issue: 3pp. 801-823Optimizing Diffusion-Tensor Imaging Acquisition for Spinal Cord Assessment: Physical Basis and Technical AdjustmentsRadioGraphics2020Volume: 40Issue: 2pp. 403-427Invited Commentary on “Optimizing Diffusion-Tensor Imaging Acquisition for Spinal Cord Assessment,” with Response from Dr Martín Noguerol et alRadioGraphics2020Volume: 40Issue: 2pp. 428-431See More RSNA Education Exhibits CT Myelography: From Technical Aspects to Imaging EvaluationDigital Posters2022Is Your Head Spinning Yet? MRI Acceleration Techniques for the MSK GuyDigital Posters2019Spinal Diffusion Weighted Imaging (DWI): From Ischemia to BacteremiaDigital Posters2020 RSNA Case Collection Early spine infectionRSNA Case Collection2022Spinal epidural abscess RSNA Case Collection2020Hirayama DiseaseRSNA Case Collection2021 Vol. 306, No. 3 Metrics Altmetric Score PDF download
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
3秒前
sunny发布了新的文献求助10
4秒前
Betty完成签到 ,获得积分10
5秒前
布梨完成签到 ,获得积分10
5秒前
汕头凯奇完成签到,获得积分10
7秒前
10秒前
11秒前
qiyun96完成签到,获得积分20
12秒前
安安的小板栗完成签到,获得积分10
16秒前
CDQ完成签到,获得积分10
16秒前
qiyun96发布了新的文献求助10
18秒前
沸腾鱼健康完成签到,获得积分10
21秒前
cong完成签到 ,获得积分10
23秒前
29秒前
31秒前
FATHER LI发布了新的文献求助10
32秒前
5High_0完成签到 ,获得积分10
35秒前
坦率的惊蛰完成签到,获得积分10
36秒前
似水流年发布了新的文献求助10
37秒前
哈哈完成签到 ,获得积分10
42秒前
彭于晏应助似水流年采纳,获得10
47秒前
单细胞完成签到 ,获得积分0
47秒前
失眠的香蕉完成签到 ,获得积分10
52秒前
言灵完成签到 ,获得积分10
56秒前
羡羡呀完成签到 ,获得积分10
56秒前
咦哈哈哈完成签到 ,获得积分10
57秒前
洁净的寒安完成签到,获得积分10
57秒前
儒雅棒球完成签到,获得积分10
59秒前
小欣完成签到,获得积分10
1分钟前
仁爱钢笔完成签到 ,获得积分10
1分钟前
从容的方盒完成签到 ,获得积分10
1分钟前
奶俊啵啵完成签到 ,获得积分10
1分钟前
似水流年完成签到,获得积分10
1分钟前
多情以山完成签到 ,获得积分10
1分钟前
tina完成签到 ,获得积分10
1分钟前
爱科研的小胖子完成签到,获得积分10
1分钟前
和谐的映梦完成签到,获得积分10
1分钟前
dhjic完成签到 ,获得积分10
1分钟前
zcydbttj2011完成签到 ,获得积分10
1分钟前
nhzz2023完成签到 ,获得积分0
1分钟前
高分求助中
Becoming: An Introduction to Jung's Concept of Individuation 600
Ore genesis in the Zambian Copperbelt with particular reference to the northern sector of the Chambishi basin 500
A new species of Coccus (Homoptera: Coccoidea) from Malawi 500
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 500
Sarcolestes leedsi Lydekker, an ankylosaurian dinosaur from the Middle Jurassic of England 450
Die Gottesanbeterin: Mantis religiosa: 656 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3164885
求助须知:如何正确求助?哪些是违规求助? 2815966
关于积分的说明 7910672
捐赠科研通 2475554
什么是DOI,文献DOI怎么找? 1318268
科研通“疑难数据库(出版商)”最低求助积分说明 632053
版权声明 602336