Fully automated planning for anatomical fetal brain MRI on 0.55T.

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第一作者： Sara,Neves Silva

第一单位： Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

作者： Sara,Neves Silva ^[1] ; Sarah,McElroy ^[2] ; Jordina,Aviles Verdera ^[1] ; Kathleen,Colford ^[3] ; Kamilah,St Clair ^[1] ; Raphael,Tomi-Tricot ^[2] ; Alena,Uus ^[1] ; Valéry,Ozenne ^[2] ; Megan,Hall ^[1] ; Lisa,Story ^[2] ; Kuberan,Pushparajah ^[1] ; Mary A,Rutherford ^[3] ; Joseph V,Hajnal ^[1] ; Jana,Hutter ^[2]

作者单位： Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK. ^[1] Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK. ^[2] MR Research Collaborations, Siemens Healthcare Limited, Camberley, UK. ^[3] CNRS, CRMSB, UMR 5536, IHU Liryc, Université de Bordeaux, Bordeaux, France. ^[4] Department of Women & Children's Health, King's College London, London, UK. ^[5] Smart Imaging Lab, Radiological Institute, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany. ^[6]

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