Detectability and accuracy of computational measurements of in-silico and physical representations of enlarged perivascular spaces from magnetic resonance images.
MRI phantom
Virchow-Robin spaces
perivascular spaces
Journal
Journal of neuroscience methods
ISSN: 1872-678X
Titre abrégé: J Neurosci Methods
Pays: Netherlands
ID NLM: 7905558
Informations de publication
Date de publication:
19 Dec 2023
19 Dec 2023
Historique:
received:
25
07
2023
revised:
27
11
2023
accepted:
17
12
2023
medline:
22
12
2023
pubmed:
22
12
2023
entrez:
21
12
2023
Statut:
aheadofprint
Résumé
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. 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. 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 1mm diameter and 2mm length. 'PVS' orientation did not affect measurements in data with isotropic voxels. Does not apply. The in-silico and physical phantoms presented are useful for establishing the validity of quantification methods of tubular small structures.
Sections du résumé
BACKGROUND
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
METHODS
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
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 1mm diameter and 2mm length. 'PVS' orientation did not affect measurements in data with isotropic voxels.
COMPARISON WITH EXISTENT METHODS
UNASSIGNED
Does not apply.
CONCLUSIONS
CONCLUSIONS
The in-silico and physical phantoms presented are useful for establishing the validity of quantification methods of tubular small structures.
Identifiants
pubmed: 38128784
pii: S0165-0270(23)00258-3
doi: 10.1016/j.jneumeth.2023.110039
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
110039Informations de copyright
Copyright © 2023. Published by Elsevier B.V.
Déclaration de conflit d'intérêts
Declaration of Competing Interest Authors declare no competing interests