Detectability and accuracy of computational measurements of in-silico and physical representations of enlarged perivascular spaces from magnetic resonance images
Duarte Coello R, Valdés Hernández MdC, Zwanenburg JJ, van der Velden M, Kuijf HJ, De Luca A, Moyano JB, Ballerini L, Chappell FM, Brown R, Jan Biessels G, Wardlaw JM (2024)
Publication Type: Journal article
Publication year: 2024
Journal
Book Volume: 403
Article Number: 110039
DOI: 10.1016/j.jneumeth.2023.110039
Abstract
Background: Magnetic Resonance Imaging (MRI) visible perivascular spaces (PVS) have been associated with age, decline in cognitive abilities, interrupted sleep, and markers of small vessel disease. But the limits of validity of their quantification have not been established. New method: We use a purpose-built digital reference object to construct an in-silico phantom for addressing this need, and validate it using a physical phantom. We use cylinders of different sizes as models for PVS. We also evaluate the influence of ‘PVS’ orientation, and different sets of parameters of the two vesselness filters that have been used for enhancing tubular structures, namely Frangi and RORPO filters, in the measurements’ accuracy. Results: PVS measurements in MRI are only a proxy of their true dimensions, as the boundaries of their representation are consistently overestimated. The success in the use of the Frangi filter relies on a careful tuning of several parameters. Alpha= 0.5, beta= 0.5 and c= 500 yielded the best results. RORPO does not have these requirements and allows detecting smaller cylinders in their entirety more consistently in the absence of noise and confounding artefacts. The Frangi filter seems to be best suited for voxel sizes equal or larger than 0.4 mm-isotropic and cylinders larger than 1 mm diameter and 2 mm length. ‘PVS’ orientation did not affect measurements in data with isotropic voxels. Comparison with existent methods: Does not apply. Conclusions: The in-silico and physical phantoms presented are useful for establishing the validity of quantification methods of tubular small structures.
Involved external institutions
United Kingdom (GB)
Netherlands (NL)How to cite
APA:
Duarte Coello, R., Valdés Hernández, M.d.C., Zwanenburg, J.J., van der Velden, M., Kuijf, H.J., De Luca, A.,... Wardlaw, J.M. (2024). Detectability and accuracy of computational measurements of in-silico and physical representations of enlarged perivascular spaces from magnetic resonance images. Journal of Neuroscience Methods, 403. https://doi.org/10.1016/j.jneumeth.2023.110039
MLA:
Duarte Coello, Roberto, et al. "Detectability and accuracy of computational measurements of in-silico and physical representations of enlarged perivascular spaces from magnetic resonance images." Journal of Neuroscience Methods 403 (2024).
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