Logo image
Back
A comprehensive survey of imaging-based methods of measuring intracranial pressure
Journal article   Open access   Peer reviewed

A comprehensive survey of imaging-based methods of measuring intracranial pressure

A Z M Ehtesham Chowdhury, Graham Mann, William H. Morgan, Andrew Mehnert and Ferdous Sohel
Biomedical signal processing and control, Vol.107, 107854
2025
DOI: https://doi.org/10.1016/j.bspc.2025.107854
Appears in  Open Access via Read & Publish Agreements
pdf
Published2.26 MBDownloadView
CC BY V4.0,  Open Access

Abstract

Cerebrospinal fluid pressure Intracranial hypertension Machine learning Medical imaging Retinal photoplethysmography
Intracranial pressure (ICP) measurement is vital in managing and treating patients with brain injuries, brain tumors, and other neuro-ophthalmic conditions. Invasive methods have reached a high standard of accuracy but pose multiple risks to patients and require specialized resources. In contrast, non-invasive methods indirectly estimate ICP based on related physiological properties. This paper surveys imaging-based methods that utilize cerebro-ophthalmic anatomy and fluid dynamics. The theoretical basis of each method is presented, including the physiological attributes and imaging modality used. Details of empirical studies are also presented, including subjects (type, population, medical indication, captured anatomies), methodology, and evaluations of ICP estimation accuracy. The pros and cons of each method are presented in terms of complexity, patient acceptability, operating expertise, potential for clinical application, costs, and time. Whilst none of the methods in the survey has to date achieved the reliability and accuracy of invasive methods used clinically, those based on transcranial and orbital ultrasonography and direct retinal imaging demonstrate great promise. Refinements to these methods, including the application of modern deep learning techniques, offer the prospect of non-invasive, clinically acceptable, accurate and automatic measurement of ICP.

Details

Metrics

17 Record Views
2 Times Cited - Web of Science

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
Citation topics
1 Clinical & Life Sciences
1.36 Ophthalmology
1.36.1932 Idiopathic Intracranial Hypertension
Web Of Science research areas
Engineering, Biomedical
ESI research areas
Engineering
Logo image