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Automatic Quantification of Normal Brain Gyrification Patterns and Changes in Fetuses with Polymicrogyria and Lissencephaly Based on MRI.

Bossmat YehudaAviad RabinowichDaphna Link-SouraniNetanell AvisdrisOri Ben-ZviBella Specktor-FadidaLeo JoskowiczLiat Ben-SiraElka MillerDafna Ben Bashat
Published in: AJNR. American journal of neuroradiology (2023)
This study presents a pipeline for automatic quantification of fetal brain gyrification and provides normal developmental curves from a large cohort. Our method significantly differentiated fetuses with lissencephaly and polymicrogyria, demonstrating lower gyrification values. The method can aid radiologic assessment, highlight fetuses at risk, and may improve early identification of fetuses with cortical malformations.
Keyphrases
  • gestational age
  • resting state
  • deep learning
  • white matter
  • machine learning
  • preterm birth
  • functional connectivity
  • cerebral ischemia
  • computed tomography
  • brain injury
  • subarachnoid hemorrhage