{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T10:43:02Z","timestamp":1787740982916,"version":"build-2784847793"},"reference-count":34,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["clinicalkey.fr","ejradiology.com","clinicalkey.jp","clinicalkey.es","clinicalkey.com.au","clinicalkey.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["European Journal of Radiology"],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1016\/j.ejrad.2024.111633","type":"journal-article","created":{"date-parts":[[2024,7,16]],"date-time":"2024-07-16T00:19:00Z","timestamp":1721089140000},"page":"111633","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":10,"special_numbering":"C","title":["Deep learning reconstructed T2-weighted Dixon imaging of the spine: Impact on acquisition time and image quality"],"prefix":"10.1016","volume":"178","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0829-4598","authenticated-orcid":false,"given":"Zeynep","family":"Berkarda","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simon","family":"Wiedemann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Caroline","family":"Wilpert","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ralph","family":"Strecker","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gregor","family":"Koerzdoerfer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dominik","family":"Nickel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fabian","family":"Bamberg","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthias","family":"Benndorf","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas","family":"Mayrhofer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maximilian Frederik","family":"Russe","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jakob","family":"Weiss","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thierno D.","family":"Diallo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.ejrad.2024.111633_b0005","doi-asserted-by":"crossref","first-page":"755","DOI":"10.1002\/jmri.27858","article-title":"Diagnostic Role of Magnetic Resonance Imaging in Low Back Pain Caused by Vertebral Endplate Degeneration","volume":"55","author":"Din","year":"2022","journal-title":"J. Magn. Reson. Imaging"},{"issue":"10070","key":"10.1016\/j.ejrad.2024.111633_b0010","doi-asserted-by":"crossref","first-page":"736","DOI":"10.1016\/S0140-6736(16)30970-9","article-title":"Non-specific low back pain","volume":"389","author":"Maher","year":"2017","journal-title":"Lancet"},{"issue":"9","key":"10.1016\/j.ejrad.2024.111633_b0015","doi-asserted-by":"crossref","first-page":"1069","DOI":"10.1016\/j.jacr.2016.06.008","article-title":"ACR Appropriateness Criteria Low Back Pain","volume":"13","author":"Patel","year":"2016","journal-title":"J. Am. Coll. Radiol."},{"issue":"6","key":"10.1016\/j.ejrad.2024.111633_b0020","doi-asserted-by":"crossref","first-page":"2028","DOI":"10.1002\/art.34347","article-title":"A systematic review of the global prevalence of low back pain","volume":"64","author":"Hoy","year":"2012","journal-title":"Arthritis Rheum."},{"issue":"9178","key":"10.1016\/j.ejrad.2024.111633_b0025","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1016\/S0140-6736(99)01312-4","article-title":"Epidemiological features of chronic low-back pain","volume":"354","author":"Andersson","year":"1999","journal-title":"Lancet"},{"key":"10.1016\/j.ejrad.2024.111633_b0030","unstructured":"Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet, 2015. 386(9995): p. 743-800."},{"issue":"8","key":"10.1016\/j.ejrad.2024.111633_b0035","doi-asserted-by":"crossref","first-page":"1327","DOI":"10.1007\/s003300050547","article-title":"Magnetic resonance imaging of normal bone marrow","volume":"8","author":"Vande Berg","year":"1998","journal-title":"Eur. Radiol."},{"issue":"2","key":"10.1016\/j.ejrad.2024.111633_b0040","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1016\/j.carj.2016.11.002","article-title":"Association Between Measures of Vertebral Endplate Morphology and Lumbar Intervertebral Disc Degeneration","volume":"68","author":"Duran","year":"2017","journal-title":"Can. Assoc. Radiol. J."},{"issue":"1","key":"10.1016\/j.ejrad.2024.111633_b0045","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1186\/s13018-018-0727-z","article-title":"Axial loading during MRI induces significant T2 value changes in vertebral endplates-a feasibility study on patients with low back pain","volume":"13","author":"Hebelka","year":"2018","journal-title":"J. Orthop. Surg. Res."},{"issue":"7","key":"10.1016\/j.ejrad.2024.111633_b0050","doi-asserted-by":"crossref","first-page":"1365","DOI":"10.1007\/s00256-021-03950-1","article-title":"The Dixon method in musculoskeletal MRI: from fat-sensitive to fat-specific imaging","volume":"51","author":"Omoumi","year":"2022","journal-title":"Skeletal Radiol."},{"issue":"1","key":"10.1016\/j.ejrad.2024.111633_b0055","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1002\/jmri.23639","article-title":"Parallel MR imaging","volume":"36","author":"Deshmane","year":"2012","journal-title":"J. Magn. Reson. Imaging"},{"issue":"4","key":"10.1016\/j.ejrad.2024.111633_b0060","doi-asserted-by":"crossref","first-page":"966","DOI":"10.1002\/jmri.25547","article-title":"Compressed sensing for body MRI","volume":"45","author":"Feng","year":"2017","journal-title":"J. Magn. Reson. Imaging"},{"issue":"6","key":"10.1016\/j.ejrad.2024.111633_b0065","doi-asserted-by":"crossref","first-page":"1952","DOI":"10.1002\/jmri.27816","article-title":"Seeking a Widely Adoptable Practical Standard to Estimate Signal-to-Noise Ratio in Magnetic Resonance Imaging for Multiple-Coil Reconstructions","volume":"54","author":"Montin","year":"2021","journal-title":"J. Magn. Reson. Imaging"},{"issue":"5","key":"10.1016\/j.ejrad.2024.111633_b0070","doi-asserted-by":"crossref","first-page":"2139","DOI":"10.1002\/mrm.27178","article-title":"Super-resolution musculoskeletal MRI using deep learning","volume":"80","author":"Chaudhari","year":"2018","journal-title":"Magn. Reson. Med."},{"issue":"12","key":"10.1016\/j.ejrad.2024.111633_b0075","article-title":"Deep Learning Applications in Magnetic Resonance Imaging: Has the Future Become Present?","volume":"11","author":"Gassenmaier","year":"2021","journal-title":"Diagnostics (basel)"},{"issue":"2","key":"10.1016\/j.ejrad.2024.111633_b0080","doi-asserted-by":"crossref","first-page":"491","DOI":"10.1109\/TMI.2017.2760978","article-title":"A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction","volume":"37","author":"Schlemper","year":"2018","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"6","key":"10.1016\/j.ejrad.2024.111633_b0085","doi-asserted-by":"crossref","first-page":"3055","DOI":"10.1002\/mrm.26977","article-title":"Learning a variational network for reconstruction of accelerated MRI data","volume":"79","author":"Hammernik","year":"2018","journal-title":"Magn. Reson. Med."},{"issue":"1","key":"10.1016\/j.ejrad.2024.111633_b0090","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1136\/jnnp.65.1.42","article-title":"Precision and reliability for measurement of change in MRI lesion volume in multiple sclerosis: a comparison of two computer assisted techniques","volume":"65","author":"Molyneux","year":"1998","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"issue":"1112","key":"10.1016\/j.ejrad.2024.111633_b0095","doi-asserted-by":"crossref","first-page":"20190725","DOI":"10.1259\/bjr.20190725","article-title":"Clinical utility of fat-suppressed 3-dimensional controlled aliasing in parallel imaging results in higher acceleration sampling perfection with application optimized contrast using different flip angle evolutions MRI of the knee in adults","volume":"93","author":"Lee","year":"2020","journal-title":"Br. J. Radiol."},{"issue":"1","key":"10.1016\/j.ejrad.2024.111633_b0100","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1148\/rg.301095076","article-title":"Optimizing abdominal MR imaging: approaches to common problems","volume":"30","author":"Yang","year":"2010","journal-title":"Radiographics"},{"key":"10.1016\/j.ejrad.2024.111633_b0105","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/j.ejrad.2019.06.006","article-title":"Accelerating anatomical 2D turbo spin echo imaging of the ankle using compressed sensing","volume":"118","author":"Gersing","year":"2019","journal-title":"Eur. J. Radiol."},{"issue":"9","key":"10.1016\/j.ejrad.2024.111633_b0110","doi-asserted-by":"crossref","first-page":"6215","DOI":"10.1007\/s00330-022-08753-z","article-title":"Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard MRI protocol","volume":"32","author":"Herrmann","year":"2022","journal-title":"Eur. Radiol."},{"issue":"1","key":"10.1016\/j.ejrad.2024.111633_b0115","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1055\/s-0039-3400265","article-title":"Improving the Speed of MRI with Artificial Intelligence","volume":"24","author":"Johnson","year":"2020","journal-title":"Semin. Musculoskelet. Radiol."},{"issue":"1","key":"10.1016\/j.ejrad.2024.111633_b0120","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1109\/MSP.2019.2950640","article-title":"Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues","volume":"37","author":"Knoll","year":"2020","journal-title":"IEEE Signal Process Mag."},{"issue":"6","key":"10.1016\/j.ejrad.2024.111633_b0125","doi-asserted-by":"crossref","first-page":"1421","DOI":"10.2214\/AJR.20.23313","article-title":"Using Deep Learning to Accelerate Knee MRI at 3 T: Results of an Interchangeability Study","volume":"215","author":"Recht","year":"2020","journal-title":"AJR Am. J. Roentgenol."},{"issue":"3","key":"10.1016\/j.ejrad.2024.111633_b0130","doi-asserted-by":"crossref","first-page":"e212922","DOI":"10.1148\/radiol.212922","article-title":"Deep Learning Reconstruction for Accelerated Spine MRI: Prospective Analysis of Interchangeability","volume":"306","author":"Almansour","year":"2023","journal-title":"Radiology"},{"issue":"1056","key":"10.1016\/j.ejrad.2024.111633_b0135","doi-asserted-by":"crossref","first-page":"20150487","DOI":"10.1259\/bjr.20150487","article-title":"Compressed sensing MRI: a review of the clinical literature","volume":"88","author":"Jaspan","year":"2015","journal-title":"Br. J. Radiol."},{"issue":"6","key":"10.1016\/j.ejrad.2024.111633_b0140","doi-asserted-by":"crossref","first-page":"1182","DOI":"10.1002\/mrm.21391","article-title":"Sparse MRI: The application of compressed sensing for rapid MR imaging","volume":"58","author":"Lustig","year":"2007","journal-title":"Magn. Reson. Med."},{"issue":"2","key":"10.1016\/j.ejrad.2024.111633_b0145","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1148\/radiol.2018180445","article-title":"Variable-Density Single-Shot Fast Spin-Echo MRI with Deep Learning Reconstruction by Using Variational Networks","volume":"289","author":"Chen","year":"2018","journal-title":"Radiology"},{"issue":"8","key":"10.1016\/j.ejrad.2024.111633_b0150","article-title":"Feasibility and Implementation of a Deep Learning MR Reconstruction for TSE Sequences in Musculoskeletal Imaging","volume":"11","author":"Herrmann","year":"2021","journal-title":"Diagnostics (basel)"},{"key":"10.1016\/j.ejrad.2024.111633_b0155","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.ejrad.2017.06.011","article-title":"Role of chemical shift and Dixon based techniques in musculoskeletal MR imaging","volume":"94","author":"Pezeshk","year":"2017","journal-title":"Eur. J. Radiol."},{"issue":"5","key":"10.1016\/j.ejrad.2024.111633_b0160","doi-asserted-by":"crossref","first-page":"2583","DOI":"10.1007\/s00330-019-06626-6","article-title":"MRI of non-specific low back pain and\/or lumbar radiculopathy: do we need T1 when using a sagittal T2-weighted Dixon sequence?","volume":"30","author":"Zanchi","year":"2020","journal-title":"Eur. Radiol."},{"issue":"1121","key":"10.1016\/j.ejrad.2024.111633_b0165","doi-asserted-by":"crossref","first-page":"20201438","DOI":"10.1259\/bjr.20201438","article-title":"Comparison of lumbar degenerative disc disease using conventional fast spin echo T(2)W MRI and T(2) fast spin echo dixon sequences","volume":"94","author":"Saifuddin","year":"2021","journal-title":"Br. J. Radiol."},{"issue":"3","key":"10.1016\/j.ejrad.2024.111633_b0170","doi-asserted-by":"crossref","first-page":"948","DOI":"10.1148\/radiol.2017170325","article-title":"Bone Marrow Metastases: T2-weighted Dixon Spin-Echo Fat Images Can Replace T1-weighted Spin-Echo Images","volume":"286","author":"Maeder","year":"2018","journal-title":"Radiology"}],"container-title":["European Journal of Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0720048X24003498?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0720048X24003498?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T00:52:49Z","timestamp":1729126369000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0720048X24003498"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9]]},"references-count":34,"alternative-id":["S0720048X24003498"],"URL":"https:\/\/doi.org\/10.1016\/j.ejrad.2024.111633","relation":{},"ISSN":["0720-048X"],"issn-type":[{"value":"0720-048X","type":"print"}],"subject":[],"published":{"date-parts":[[2024,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Deep learning reconstructed T2-weighted Dixon imaging of the spine: Impact on acquisition time and image quality","name":"articletitle","label":"Article Title"},{"value":"European Journal of Radiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ejrad.2024.111633","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"111633"}}