Fast high-quality MRI protocol of the lumbar spine with deep learning-based algorithm: an image quality and scanning time comparison with standard protocol.
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| Title: | Fast high-quality MRI protocol of the lumbar spine with deep learning-based algorithm: an image quality and scanning time comparison with standard protocol. |
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| Authors: | Zerunian M; Department of Medical Surgical Sciences and Translational Medicine, University of Rome 'Sapienza' Radiology Unit - Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy., Pucciarelli F; Department of Medical Surgical Sciences and Translational Medicine, University of Rome 'Sapienza' Radiology Unit - Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy., Caruso D; Department of Medical Surgical Sciences and Translational Medicine, University of Rome 'Sapienza' Radiology Unit - Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy., De Santis D; Department of Medical Surgical Sciences and Translational Medicine, University of Rome 'Sapienza' Radiology Unit - Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy., Polici M; Department of Medical Surgical Sciences and Translational Medicine, University of Rome 'Sapienza' Radiology Unit - Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy., Masci B; Department of Medical Surgical Sciences and Translational Medicine, University of Rome 'Sapienza' Radiology Unit - Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy., Nacci I; Department of Medical Surgical Sciences and Translational Medicine, University of Rome 'Sapienza' Radiology Unit - Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy., Del Gaudio A; Department of Medical Surgical Sciences and Translational Medicine, University of Rome 'Sapienza' Radiology Unit - Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy., Argento G; Department of Medical Surgical Sciences and Translational Medicine, University of Rome 'Sapienza' Radiology Unit - Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy., Redler A; Orthopaedic Unit and Kirk Kilgour Sports Injury Centre, University of Rome 'Sapienza' - Sant'Andrea University Hospital, Rome, Italy., Laghi A; Department of Medical Surgical Sciences and Translational Medicine, University of Rome 'Sapienza' Radiology Unit - Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy. andrea.laghi@uniroma1.it. |
| Source: | Skeletal radiology [Skeletal Radiol] 2024 Jan; Vol. 53 (1), pp. 151-159. Date of Electronic Publication: 2023 Jun 28. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Verlag Country of Publication: Germany NLM ID: 7701953 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-2161 (Electronic) Linking ISSN: 03642348 NLM ISO Abbreviation: Skeletal Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1432-2161 |
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| DOI: | 10.1007/s00256-023-04390-9 |
