Assessing severity of cerebral small vessel disease using field-cycling MRI and automated segmentation: Proffered Conference Abstract - World Stroke Congress 2023

Nicholas Senn; Vasiliki Mallikourti; James Ross; Lionel Broche; Gordon Waiter; Mary Macleod

doi:10.1177/17474930231192010

Assessing severity of cerebral small vessel disease using field-cycling MRI and automated segmentation: Proffered Conference Abstract - World Stroke Congress 2023

Nicholas Senn, Vasiliki Mallikourti, James Ross, Lionel Broche, Gordon Waiter, Mary Macleod

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

Original language	English
Article number	EP201
Journal	International Journal of Stroke
Volume	18
Issue number	3_suppl
DOIs	https://doi.org/10.1177/17474930231192010
Publication status	Published - 10 Oct 2023

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10.1177/17474930231192010Licence: Unspecified

Aberdeen Biomedical Imaging Centre
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Assessing severity of cerebral small vessel disease using field-cycling MRI and automated segmentation: Proffered Conference Abstract - World Stroke Congress 2023. / Senn, Nicholas ; Mallikourti, Vasiliki ; Ross, James et al.
In: International Journal of Stroke, Vol. 18, No. 3_suppl, EP201, 10.10.2023.

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

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title = "Assessing severity of cerebral small vessel disease using field-cycling MRI and automated segmentation: Proffered Conference Abstract - World Stroke Congress 2023",

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T2 - Proffered Conference Abstract - World Stroke Congress 2023

AU - Senn, Nicholas

AU - Mallikourti, Vasiliki

AU - Ross, James

AU - Broche, Lionel

AU - Waiter, Gordon

AU - Macleod, Mary

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Assessing severity of cerebral small vessel disease using field-cycling MRI and automated segmentation: Proffered Conference Abstract - World Stroke Congress 2023

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Aberdeen Biomedical Imaging Centre

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