Fully automated planning for anatomical fetal brain MRI on 0.55T - 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 A.; et al. (Magnetic resonance in medicine, 2024)
Keywords: Algorithms; Availability; Brain; Brain - diagnostic imaging; Brain - embryology; Cerebellum; Computer Science; Deep Learning; Echo-Planar Imaging - methods; Female; Fetus - diagnostic imaging; Fetuses; Field strength; Humans; Image Interpretation, Computer-Assisted - methods; Image Processing, Computer-Assisted - methods; Image quality; Latency; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Medical Imaging; Neuroimaging; Pregnancy; Prenatal Diagnosis - methods; Prospective Studies; Uterus; Widening; fetal MRI; T2 relaxometry; motion correction; tracking; motion detection; fetal brain development; fetal brain development fetal MRI motion correction motion detection T2 relaxometry tracking