NEVES SILVA, Sara; MCELROY, Sarah; AVILES VERDERA, Jordina; COLFORD, Kathleen; ST CLAIR, Kamilah; TOMI‐TRICOT, Raphael; UUS, Alena; OZENNE, Valéry; HALL, Megan; STORY, Lisa; PUSHPARAJAH, Kuberan; RUTHERFORD, Mary; HAJNAL, Joseph; HUTTER, Jana

doi:10.1002/mrm.30122

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Magnetic Resonance in Medicine. 2024-04-22, vol. 92, n° 3, p. 1263-1276

Résumé en anglais

Abstract 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.< Réduire

Mots clés en anglais

fetal brain development fetal MRI motion correction motion detection T2* relaxometry tracking

fetal brain development

fetal MRI

motion correction

motion detection

T2* relaxometry

tracking

URI

https://oskar-bordeaux.fr/handle/20.500.12278/203277

DOI

http://dx.doi.org/10.1002/mrm.30122

Unités de recherche

Centre de Résonance Magnétique des Systèmes Biologiques (CRMSB) - UMR 5536

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Fully automated planning for anatomical fetal brain MRI on 0.55T

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