An untrained deep learning method for reconstructing dynamic MR images from accelerated model‐based data-Reference-Cited by-同舟云学术

An untrained deep learning method for reconstructing dynamic MR images from accelerated model‐based data

Published:2022-12-05 Issue:4 Volume:89 Page:1617-1633
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magnetic Resonance in Med

Author:

Slavkova Kalina P.¹^ORCID,DiCarlo Julie C.²³^ORCID,Wadhwa Viraj⁴,Kumar Sidharth⁴,Wu Chengyue²^ORCID,Virostko John²³⁵⁶,Yankeelov Thomas E.²³⁵⁶⁷,Tamir Jonathan I.²⁴⁵^ORCID

Affiliation:

1. Department of Physics The University of Texas Austin Texas USA

2. The Oden Institute for Computational Engineering and Sciences, The University of Texas Austin Texas USA

3. Livestrong Cancer Institutes, Dell Medical School The University of Texas Austin Texas USA

4. Chandra Family Department of Electrical and Computer Engineering The University of Texas Austin Texas USA

5. Department of Diagnostic Medicine, Dell Medical School The University of Texas Austin Texas USA

6. Department of Oncology, Dell Medical School The University of Texas Austin Texas USA

7. Department of Biomedical Engineering The University of Texas Austin Texas USA

Funder

National Institutes of Health

American Cancer Society

Cancer Prevention and Research Institute of Texas

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.29547

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