{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T23:07:32Z","timestamp":1792796852848,"version":"4.5.0"},"reference-count":28,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2024,4,22]],"date-time":"2024-04-22T00:00:00Z","timestamp":1713744000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"publisher","award":["502024488"],"award-info":[{"award-number":["502024488"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002001","name":"Health Services and Delivery Research Programme","doi-asserted-by":"publisher","award":["NIHR3016640"],"award-info":[{"award-number":["NIHR3016640"]}],"id":[{"id":"10.13039\/501100002001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100014013","name":"UK Research and Innovation","doi-asserted-by":"publisher","award":["MR\/T018119\/1"],"award-info":[{"award-number":["MR\/T018119\/1"]}],"id":[{"id":"10.13039\/100014013","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100023312","name":"Wellcome EPSRC Centre for Medical Engineering","doi-asserted-by":"publisher","award":["WT203148\/Z\/16\/Z"],"award-info":[{"award-number":["WT203148\/Z\/16\/Z"]}],"id":[{"id":"10.13039\/501100023312","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance in Med"],"published-print":{"date-parts":[[2024,9]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>Widening the availability of fetal MRI with fully automatic real\u2010time planning of radiological brain planes on 0.55T MRI.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Deep learning\u2010based detection of key brain landmarks on a whole\u2010uterus echo planar imaging scan enables the subsequent fully automatic planning of the radiological single\u2010shot Turbo Spin Echo acquisitions. The landmark detection pipeline was trained on over 120 datasets from varying field strength, echo times, and resolutions and quantitatively evaluated. The entire automatic planning solution was tested prospectively in nine fetal subjects between 20 and 37 weeks. A comprehensive evaluation of all steps, the distance between manual and automatic landmarks, the planning quality, and the resulting image quality was conducted.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Prospective automatic planning was performed in real\u2010time without latency in all subjects. The landmark detection accuracy was 4.2  2.6 mm for the fetal eyes and 6.5  3.2 for the cerebellum, planning quality was 2.4\/3 (compared to 2.6\/3 for manual planning) and diagnostic image quality was 2.2 compared to 2.1 for manual planning.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Real\u2010time automatic planning of all three key fetal brain planes was successfully achieved and will pave the way toward simplifying the acquisition of fetal MRI thereby widening the availability of this modality in nonspecialist centers.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mrm.30122","type":"journal-article","created":{"date-parts":[[2024,4,23]],"date-time":"2024-04-23T01:30:05Z","timestamp":1713835805000},"page":"1263-1276","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Fully automated planning for anatomical fetal brain MRI on 0.55T"],"prefix":"10.1002","volume":"92","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-7520-081X","authenticated-orcid":false,"given":"Sara","family":"Neves Silva","sequence":"first","affiliation":[{"name":"Centre for the Developing Brain, School of Biomedical Engineering &amp; Imaging Sciences King's College London  London UK"},{"name":"Biomedical Engineering Department, School of Biomedical Engineering &amp; Imaging Sciences King's College London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4271-5931","authenticated-orcid":false,"given":"Sarah","family":"McElroy","sequence":"additional","affiliation":[{"name":"Centre for the Developing Brain, School of Biomedical Engineering &amp; Imaging Sciences King's College London  London UK"},{"name":"MR Research Collaborations Siemens Healthcare Limited  Camberley UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7575-4244","authenticated-orcid":false,"given":"Jordina","family":"Aviles Verdera","sequence":"additional","affiliation":[{"name":"Centre for the Developing Brain, School of Biomedical Engineering &amp; Imaging Sciences King's College London  London UK"},{"name":"Biomedical Engineering Department, School of Biomedical Engineering &amp; Imaging Sciences King's College London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kathleen","family":"Colford","sequence":"additional","affiliation":[{"name":"Centre for the Developing Brain, School of Biomedical Engineering &amp; Imaging Sciences King's College London  London UK"},{"name":"Biomedical Engineering Department, School of Biomedical Engineering &amp; Imaging Sciences King's College London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kamilah","family":"St Clair","sequence":"additional","affiliation":[{"name":"Centre for the Developing Brain, School of Biomedical Engineering &amp; Imaging Sciences King's College London  London UK"},{"name":"Biomedical Engineering Department, School of Biomedical Engineering &amp; Imaging Sciences King's College London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Raphael","family":"Tomi\u2010Tricot","sequence":"additional","affiliation":[{"name":"Centre for the Developing Brain, School of Biomedical Engineering &amp; 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