Image Quality Assessment of Fetal Brain MRI Using Multi-Instance Deep Learning Methods.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date: Apr 23, 2021

Abstract

BACKGROUND: Due to random motion of fetuses and maternal respirations, image quality of fetal brain MRIs varies considerably. To address this issue, visual inspection of the images is performed during acquisition phase and after 3D-reconstruction, and the images are re-acquired if they are deemed to be of insufficient quality. However, this process is time-consuming and subjective. Multi-instance (MI) deep learning methods (DLMs) may perform this task automatically.

Authors

  • Axel Largent
    Univ Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, F-35000 Rennes, France. Electronic address: axel.largent@hotmail.fr.
  • Kushal Kapse
    Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, District of Columbia, USA.
  • Scott D Barnett
    Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, District of Columbia, USA.
  • Josepheen De Asis-Cruz
    Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, District of Columbia, USA.
  • Matthew Whitehead
    Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, District of Columbia, USA.
  • Jonathan Murnick
    Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, District of Columbia, USA.
  • Li Zhao
    International Initiative on Spatial Lifecourse Epidemiology (ISLE), the Netherlands; Department of Health Policy and Management, West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, China; Research Center for Healthy City Development, Sichuan University, Chengdu, Sichuan, 610041, China; Healthy Food Evaluation Research Center, Sichuan University, Chengdu, Sichuan, 610041, China.
  • Nicole Andersen
    Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, District of Columbia, USA.
  • Jessica Quistorff
    Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, District of Columbia, USA.
  • Catherine Lopez
    Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, District of Columbia, USA.
  • Catherine Limperopoulos
    Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, District of Columbia, USA.

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