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Mulder, Inge A. (author), Khmelinskii, Artem (author), Dzyubachyk, Oleh (author), de Jong, Sebastiaan (author), Rieff, Nathalie (author), Wermer, Marieke J.H. (author), Hoehn, Mathias (author), Lelieveldt, B.P.F. (author), van den Maagdenberg, Arn M.J.M. (author)
Magnetic resonance imaging (MRI) has become increasingly important in ischemic stroke experiments in mice, especially because it enables longitudinal studies. Still, quantitative analysis of MRI data remains challenging mainly because segmentation of mouse brain lesions in MRI data heavily relies on time-consuming manual tracing and...
journal article 2017
document
Mulder, Inge A. (author), Khmelinskii, Artem (author), Dzyubachyk, Oleh (author), De Jong, Sebastiaan (author), Wermer, Marieke J.H. (author), Hoehn, Mathias (author), Lelieveldt, B.P.F. (author), van den Maagdenberg, Arn M.J.M. (author)
In this data report we make available to the community a highly variable longitudinal MRI mouse brain data set of ischemic lesion after transient middle cerebral artery occlusion (tMCAo). Together with the provided semi-automated and automated segmentations, these data can be used to further improve the method proposed by Mulder et al. (2017)...
journal article 2017