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dc.rights.licenseopenen_US
dc.contributor.authorNEVES SILVA, Sara
dc.contributor.authorMCELROY, Sarah
dc.contributor.authorAVILES VERDERA, Jordina
dc.contributor.authorCOLFORD, Kathleen
dc.contributor.authorST CLAIR, Kamilah
dc.contributor.authorTOMI‐TRICOT, Raphael
dc.contributor.authorUUS, Alena
hal.structure.identifierIHU-LIRYC
hal.structure.identifierCentre de résonance magnétique des systèmes biologiques [CRMSB]
dc.contributor.authorOZENNE, Valéry
dc.contributor.authorHALL, Megan
dc.contributor.authorSTORY, Lisa
dc.contributor.authorPUSHPARAJAH, Kuberan
dc.contributor.authorRUTHERFORD, Mary
dc.contributor.authorHAJNAL, Joseph
dc.contributor.authorHUTTER, Jana
dc.date.accessioned2024-11-14T14:04:59Z
dc.date.available2024-11-14T14:04:59Z
dc.date.issued2024-04-22
dc.identifier.issn0740-3194en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/203277
dc.description.abstractEnAbstract Purpose Widening the availability of fetal MRI with fully automatic real‐time planning of radiological brain planes on 0.55T MRI. Methods Deep learning‐based detection of key brain landmarks on a whole‐uterus echo planar imaging scan enables the subsequent fully automatic planning of the radiological single‐shot 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. Results Prospective automatic planning was performed in real‐time 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. Conclusions Real‐time 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.
dc.language.isoENen_US
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enfetal brain development fetal MRI motion correction motion detection T2* relaxometry tracking
dc.subject.enfetal brain development
dc.subject.enfetal MRI
dc.subject.enmotion correction
dc.subject.enmotion detection
dc.subject.enT2* relaxometry
dc.subject.entracking
dc.title.enFully automated planning for anatomical fetal brain MRI on 0.55T
dc.typeArticle de revueen_US
dc.identifier.doi10.1002/mrm.30122en_US
dc.subject.halInformatique [cs]/Imagerie médicaleen_US
bordeaux.journalMagnetic Resonance in Medicineen_US
bordeaux.page1263-1276en_US
bordeaux.volume92en_US
bordeaux.hal.laboratoriesCentre de Résonance Magnétique des Systèmes Biologiques (CRMSB) - UMR 5536en_US
bordeaux.issue3en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionCNRSen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcehal
hal.identifierhal-04740898
hal.version1
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Magnetic%20Resonance%20in%20Medicine&rft.date=2024-04-22&rft.volume=92&rft.issue=3&rft.spage=1263-1276&rft.epage=1263-1276&rft.eissn=0740-3194&rft.issn=0740-3194&rft.au=NEVES%20SILVA,%20Sara&MCELROY,%20Sarah&AVILES%20VERDERA,%20Jordina&COLFORD,%20Kathleen&ST%20CLAIR,%20Kamilah&rft.genre=article


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