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

Download PDF
Open Webpage

Axel Largent, Kushal Kapse, Scott D. Barnett, Josepheen De Asis‐Cruz, Matthew Whitehead, Jonathan Murnick, Li Zhao, Nicole Andersen, Jessica Quistorff, Catherine Lopez, Catherine Limperopoulos

Published: 01 Sept 2021, Last Modified: 03 Dec 2025Journal of Magnetic Resonance ImagingEveryoneRevisionsCC BY-SA 4.0
Abstract: 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.