ArticleMedical & biological engineering & computing2026
Automated measurement of optic nerve sheath diameter using ocular ultrasound video.
Article in Medical & biological engineering & computing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Impact of gaze deviation on the optic nerve sheath diameter metric: A prospective interventional study.The ultrasound journal · 2026Article
- Point-of-care ultrasonography for detecting raised intracranial pressure through optic nerve sheath diameter in non-traumatic headache patients.World journal of radiology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
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. 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. 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. The findings suggest that this method provides highly accurate automated ONSD measurements, showing potential for clinical application.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.