A mechanistic approach for intracranial pressure (ICP) level estimation

Abnormally increased intracranial pressure (ICP) requires clinical diagnosis before management; however, the only conclusive methods are invasive. In this study, we propose a non-invasive method to estimate ICP level using readily available MRI measurements. We used a mechanistic model of intracranial pulsatility, incorporating brain solid mechanics, and cerebrospinal fluid (CSF) flow dynamics. The model was personalised from brain displacement and blood/CSF data, to estimate ICP level using a harmonic balance method for efficiency. The efficiency of the method was demonstrated using synthetic data with a relative ICP level estimate error of less than 0.4% and speed-up of more than six times compared to classical optimisation methods. Moreover, the method showed robustness to high levels of noise as well as spatial and temporal resolutions. This study shows the potential of this method as a high-fidelity and non-invasive approach to estimate the ICP level. This non-invasive ICP level estimation method facilitates low-risk, cost-effective diagnosis of ICP-related pathologies.

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Publication Details

Journal
Scientific Reports
Published
2025-11-27
DOI
https://doi.org/10.1038/s41598-025-26257-w
Citations
1
Primary Topic
Cerebrospinal fluid and hydrocephalus
Type
article
Field-Weighted Citation Impact
0.91

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article

A mechanistic approach for intracranial pressure (ICP) level estimation

Samantha J. Holdsworth, Gonzalo D. Maso Talou, Ruanui Nicholson, Finbar Argus et al.
1 citations
Scientific Reports
Cerebrospinal fluid and hydrocephalus
0.91
article

A mechanistic approach for intracranial pressure (ICP) level estimation

Samantha J. Holdsworth, Gonzalo D. Maso Talou, Ruanui Nicholson, Finbar Argus, Soroush Safaei, Alireza Sharifzadeh-Kermani, Beatrice Ghitti
article en
1 citations

Abstract

Abnormally increased intracranial pressure (ICP) requires clinical diagnosis before management; however, the only conclusive methods are invasive. In this study, we propose a non-invasive method to estimate ICP level using readily available MRI measurements. We used a mechanistic model of intracranial pulsatility, incorporating brain solid mechanics, and cerebrospinal fluid (CSF) flow dynamics. The model was personalised from brain displacement and blood/CSF data, to estimate ICP level using a harmonic balance method for efficiency. The efficiency of the method was demonstrated using synthetic data with a relative ICP level estimate error of less than 0.4% and speed-up of more than six times compared to classical optimisation methods. Moreover, the method showed robustness to high levels of noise as well as spatial and temporal resolutions. This study shows the potential of this method as a high-fidelity and non-invasive approach to estimate the ICP level. This non-invasive ICP level estimation method facilitates low-risk, cost-effective diagnosis of ICP-related pathologies.

Scientific ReportsVol. 15(1)
Auckland Institute of Studies (NZ), University of Auckland (NZ), Auckland University of Technology (NZ), Medical Research Institute of New Zealand (NZ)
European Commission, Royal Society Te Apārangi, Universiteit Gent, Health Research Council of New Zealand
Openalex Percentile: Top 20%
Cerebrospinal fluid and hydrocephalus
0.91
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A mechanistic approach for intracranial pressure (ICP) level estimation — Samantha J. Holdsworth, Gonzalo D. Maso Talou, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS