Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI-Reference-Cited by-同舟云学术

Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI

Published:2023-04-01 Issue:2 Volume:307 Page:
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Johnson Patricia M.¹^ORCID,Lin Dana J.¹^ORCID,Zbontar Jure¹^ORCID,Zitnick C. Lawrence¹,Sriram Anuroop¹^ORCID,Muckley Matthew¹^ORCID,Babb James S.¹^ORCID,Kline Mitchell¹^ORCID,Ciavarra Gina¹,Alaia Erin¹^ORCID,Samim Mohammad¹,Walter William R.¹^ORCID,Calderon Liz¹,Pock Thomas¹^ORCID,Sodickson Daniel K.¹^ORCID,Recht Michael P.¹^ORCID,Knoll Florian¹^ORCID

Affiliation:

1. From the Department of Radiology, New York University Grossman School of Medicine, 650 1st Ave, New York, NY 10016 (P.M.J., D.J.L., J.S.B., M.K., G.C., E.A., M.S., W.R.W., L.C., D.K.S., M.P.R., F.K.); Meta AI Research (FAIR), Menlo Park, Calif (J.Z., C.L.Z., A.S.); Meta AI Research, New York, NY (M.M.); Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria (T.P.); and Faculty of Engineering, Friedrich Alexander University Erlangen-Nurnberg (FAU), Erlangen, Germany (F.K.).

Funder

National Institutes of Health

NIH

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.220425

Reference20 articles.

1. Sparse MRI: The application of compressed sensing for rapid MR imaging

2. A Perspective on Deep Imaging