Automated ventricular segmentation in pediatric hydrocephalus: how close are we?

Journal: Journal of neurosurgery. Pediatrics
Published Date: May 23, 2025

Abstract

OBJECTIVE: The explosive growth of available high-quality imaging data coupled with new progress in hardware capabilities has enabled a new era of unprecedented performance in brain segmentation tasks. Despite the explosion of new data released by consortiums and groups around the world, most published, closed, or openly available segmentation models have either a limited or an unknown role in pediatric brains. This study explores the utility of state-of-the-art automated ventricular segmentation tools applied to pediatric hydrocephalus. Two popular, fast, whole-brain segmentation tools were used (FastSurfer and QuickNAT) to automatically segment the lateral ventricles and evaluate their accuracy in children with hydrocephalus.

Authors

  • Birra R Taha
    1Departments of Neurosurgery.
  • Gaoxiang Luo
    2Computer Science & Engineering, University of Minnesota, Minneapolis, Minnesota.
  • Anant Naik
    1Carle Illinois College of Medicine, University of Illinois Urbana-Champaign, Champaign; and.
  • Luke Sabal
    1Departments of Neurosurgery.
  • Ju Sun
    Department of Computer Science and Engineering, University of Minnesota, Minneapolis, Minnesota, USA.
  • Robert A McGovern
    1Departments of Neurosurgery.
  • Carolina Sandoval-Garcia
    1Departments of Neurosurgery.
  • Daniel J Guillaume
    1Departments of Neurosurgery.

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