Detectability and accuracy of computational measurements of in-silico and physical representations of enlarged perivascular spaces from magnetic resonance images

Roberto duarte Coello; Maria del c. valdés Hernández; Jaco j.m. Zwanenburg; Moniek Van der velden; Hugo j. Kuijf; Alberto De luca; José bernal Moyano; Lucia Ballerini; Francesca m. Chappell; Rosalind Brown; Geert Jan biessels; Joanna m. Wardlaw

doi:10.1016/j.jneumeth.2023.110039

Detectability and accuracy of computational measurements of in-silico and physical representations of enlarged perivascular spaces from magnetic resonance images

Roberto duarte Coello, Maria del c. valdés Hernández^*, Jaco j.m. Zwanenburg, Moniek Van der velden, Hugo j. Kuijf, Alberto De luca, José bernal Moyano, Lucia Ballerini, Francesca m. Chappell, Rosalind Brown, Geert Jan biessels, Joanna m. Wardlaw

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	110039
Journal	Journal of Neuroscience Methods
DOIs	https://doi.org/10.1016/j.jneumeth.2023.110039
Publication status	Published - 20 Dec 2023

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10.1016/j.jneumeth.2023.110039

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https://linkinghub.elsevier.com/retrieve/pii/S0165027023002583

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Coello, R. D., Hernández, M. D. C. V., Zwanenburg, J. J. M., Van der velden, M., Kuijf, H. J., De luca, A., Moyano, J. B., Ballerini, L., Chappell, F. M., Brown, R., Jan biessels, G., & Wardlaw, J. M. (2023). Detectability and accuracy of computational measurements of in-silico and physical representations of enlarged perivascular spaces from magnetic resonance images. Journal of Neuroscience Methods, 110039. https://doi.org/10.1016/j.jneumeth.2023.110039

@article{843392d2b4574660afd9ff6130e00fb4,

title = "Detectability and accuracy of computational measurements of in-silico and physical representations of enlarged perivascular spaces from magnetic resonance images",

author = "Coello, {Roberto duarte} and Hern{\'a}ndez, {Maria del c. vald{\'e}s} and Zwanenburg, {Jaco j.m.} and {Van der velden}, Moniek and Kuijf, {Hugo j.} and {De luca}, Alberto and Moyano, {Jos{\'e} bernal} and Lucia Ballerini and Chappell, {Francesca m.} and Rosalind Brown and {Jan biessels}, Geert and Wardlaw, {Joanna m.}",

year = "2023",

month = dec,

day = "20",

doi = "10.1016/j.jneumeth.2023.110039",

language = "English",

pages = "110039",

journal = "Journal of Neuroscience Methods",

issn = "0165-0270",

publisher = "Elsevier",

}

Coello, RD , Hernández, MDCV, Zwanenburg, JJM, Van der velden, M, Kuijf, HJ, De luca, A, Moyano, JB, Ballerini, L, Chappell, FM , Brown, R, Jan biessels, G & Wardlaw, JM 2023, 'Detectability and accuracy of computational measurements of in-silico and physical representations of enlarged perivascular spaces from magnetic resonance images', Journal of Neuroscience Methods, pp. 110039. https://doi.org/10.1016/j.jneumeth.2023.110039

Detectability and accuracy of computational measurements of in-silico and physical representations of enlarged perivascular spaces from magnetic resonance images. / Coello, Roberto duarte ; Hernández, Maria del c. valdés; Zwanenburg, Jaco j.m. et al.
In: Journal of Neuroscience Methods, 20.12.2023, p. 110039.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Detectability and accuracy of computational measurements of in-silico and physical representations of enlarged perivascular spaces from magnetic resonance images

AU - Coello, Roberto duarte

AU - Hernández, Maria del c. valdés

AU - Zwanenburg, Jaco j.m.

AU - Van der velden, Moniek

AU - Kuijf, Hugo j.

AU - De luca, Alberto

AU - Moyano, José bernal

AU - Ballerini, Lucia

AU - Chappell, Francesca m.

AU - Brown, Rosalind

AU - Jan biessels, Geert

AU - Wardlaw, Joanna m.

PY - 2023/12/20

Y1 - 2023/12/20

U2 - 10.1016/j.jneumeth.2023.110039

DO - 10.1016/j.jneumeth.2023.110039

M3 - Article

SN - 0165-0270

SP - 110039

JO - Journal of Neuroscience Methods

JF - Journal of Neuroscience Methods

ER -

Detectability and accuracy of computational measurements of in-silico and physical representations of enlarged perivascular spaces from magnetic resonance images

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