Automated Measurement of Optic Nerve Sheath Diameter Using Ocular Ultrasound Video
Journal:
arXiv
Published Date:
Jun 3, 2025
Abstract
Objective. Elevated intracranial pressure (ICP) is recognized as a biomarker
of secondary brain injury, with a significant linear correlation observed
between optic nerve sheath diameter (ONSD) and ICP. Frequent monitoring of ONSD
could effectively support dynamic evaluation of ICP. However, ONSD measurement
is heavily reliant on the operator's experience and skill, particularly in
manually selecting the optimal frame from ultrasound sequences and measuring
ONSD. Approach. This paper presents a novel method to automatically identify
the optimal frame from video sequences for ONSD measurement by employing the
Kernel Correlation Filter (KCF) tracking algorithm and Simple Linear Iterative
Clustering (SLIC) segmentation algorithm. The optic nerve sheath is mapped and
measured using a Gaussian Mixture Model (GMM) combined with a
KL-divergence-based method. Results. When compared with the average
measurements of two expert clinicians, the proposed method achieved a mean
error, mean squared deviation, and intraclass correlation coefficient (ICC) of
0.04, 0.054, and 0.782, respectively. Significance. The findings suggest that
this method provides highly accurate automated ONSD measurements, showing
potential for clinical application.
