Efficient Health Care: Decreasing MRI Scan Time
Overview
Overview
Journal
Radiol Artif Intell
Specialties
Biomedical Engineering
Radiology
Radiology
Date
2024 May 1
PMID
38691009
Authors
Authors
Affiliations
Affiliations
Soon will be listed here.
Citing Articles
Foti G, Longo C Pol J Radiol. 2024; 89:e443-e451.
PMID: 39444654 PMC: 11497590. DOI: 10.5114/pjr/192822.
References
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DOI: 10.1371/journal.pone.0214887.
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Kiryu S, Akai H, Yasaka K, Tajima T, Kunimatsu A, Yoshioka N
. Clinical Impact of Deep Learning Reconstruction in MRI. Radiographics. 2023; 43(6):e220133.
DOI: 10.1148/rg.220133.
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Yang A, Finkelstein M, Koo C, Doshi A
. Impact of Deep Learning Image Reconstruction Methods on MRI Throughput. Radiol Artif Intell. 2024; 6(3):e230181.
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Rastogi A, Brugnara G, Foltyn-Dumitru M, Mahmutoglu M, Preetha C, Kobler E
. Deep-learning-based reconstruction of undersampled MRI to reduce scan times: a multicentre, retrospective, cohort study. Lancet Oncol. 2024; 25(3):400-410.
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Rudie J, Gleason T, Barkovich M, Wilson D, Shankaranarayanan A, Zhang T
. Clinical Assessment of Deep Learning-based Super-Resolution for 3D Volumetric Brain MRI. Radiol Artif Intell. 2022; 4(2):e210059.
PMC: 8980882.
DOI: 10.1148/ryai.210059.
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