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Related Experiment Video

Updated: Dec 11, 2025

Quantification of Optic Nerve Cross Sectional Area on MRI: A Novel Protocol using Fiji Software

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Published on: September 4, 2021

Novel Algorithm for Automated Optic Nerve Sheath Diameter Measurement Using a Clustering Approach.

Venkatakrishna Rajajee^1,2,3, Reza Soroushmehr^4,3, Craig A Williamson^1,2,3

¹Department of Neurological Surgery, University of Michigan, Ann Arbor, MI 48109-5338, USA.

Military Medicine

|August 25, 2020

Summary

An automated algorithm accurately measures optic nerve sheath diameter (ONSD) using ultrasound, offering a reliable alternative to manual assessments for detecting elevated intracranial pressure.

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Area of Science:

Medical Imaging
Neurosurgery
Ophthalmology

Background:

Optic nerve sheath diameter (ONSD) ultrasound is crucial for detecting elevated intracranial pressure.
Manual ONSD measurement is time-consuming and prone to human error.

Purpose of the Study:

Develop and validate an automated algorithm for ONSD measurement.
Compare automated ONSD measurements with physician-based manual measurements.

Main Methods:

Recruited 44 neurological ICU patients.
Obtained ultrasound images of the optic nerve sheath.
Manually measured ONSD by physicians and automatically by a novel algorithm.
Statistically compared manual and automated ONSD measurements.

Main Results:

No significant difference found between manual and automated ONSD measurements (mean difference: 0.012 cm, P > 0.05).
High correlation between manual and automated measurements (ICC = 0.8).
Automated algorithm demonstrated high sensitivity and specificity (AUC = 0.965).

Conclusions:

The automated algorithm reliably calculates ONSD with high precision.
This algorithm shows potential for computer-aided decision support in acute brain injury management.