Development of a Deep Learning-Based System for Optic Nerve Characterization in Transorbital Ultrasound Images on a Multicenter Data Set.

Journal: Ultrasound in medicine & biology
PMID: 37357081

Abstract

OBJECTIVE: Characterization of the optic nerve through measurement of optic nerve diameter (OND) and optic nerve sheath diameter (ONSD) using transorbital sonography (TOS) has proven to be a useful tool for the evaluation of intracranial pressure (ICP) and multiple neurological conditions. We describe a deep learning-based system for automatic characterization of the optic nerve from B-mode TOS images by automatic measurement of the OND and ONSD. In addition, we determine how the signal-to-noise ratio in two different areas of the image influences system performance.

Authors

  • Francesco Marzola
  • Piergiorgio Lochner
    Saarland University Medical Center, Homburg, Germany.
  • Andrea Naldi
    Neurology Unit, San Giovanni Bosco Hospital, Turin, Italy.
  • Robert Lemor
    Department of Biomedical Engineering, Saarland University of Applied Sciences, Saarbrücken, Germany.
  • Jakob Stögbauer
    Saarland University Medical Center, Homburg, Germany.
  • Kristen M Meiburger
    Department of Electronics and Telecommunications, Politecnico di Torino, Italy.

Keywords

External Resources

Popular Topics
Recent Journals