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dc.contributor.authorUllmann, J.
dc.contributor.authorKeller, M.
dc.contributor.authorWatson, Charles
dc.contributor.authorJenke, A.
dc.contributor.authorKurniawan, N.
dc.contributor.authorYang, Z.
dc.contributor.authorRichards, K.
dc.contributor.authorPaxinos, G.
dc.contributor.authorEgan, G.
dc.contributor.authorPetrou, S.
dc.contributor.authorBartlett, P.
dc.contributor.authorGalloway, J.
dc.contributor.authorReutens, D.
dc.date.accessioned2017-01-30T15:00:40Z
dc.date.available2017-01-30T15:00:40Z
dc.date.created2016-09-22T12:29:01Z
dc.date.issued2012
dc.identifier.citationUllmann, J. and Keller, M. and Watson, C. and Jenke, A. and Kurniawan, N. and Yang, Z. and Richards, K. et al. 2012. Segmentation of the C57BL/6J mouse cerebellum in magnetic resonance images. NeuroImage. 62 (3): pp. 1408-1414.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/42580
dc.identifier.doi10.1016/j.neuroimage.2012.05.061
dc.description.abstract

The C57BL mouse is the centerpiece of efforts to use gene-targeting technology to understand cerebellar pathology, thus creating a need for a detailed magnetic resonance imaging (MRI) atlas of the cerebellum of this strain. In this study we present a methodology for systematic delineation of the vermal and hemispheric lobules of the C57BL/6J mouse cerebellum in magnetic resonance images. We have successfully delineated 38 cerebellar and cerebellar-related structures. The higher signal-to-noise ratio achieved by group averaging facilitated the identification of anatomical structures. In addition, we have calculated average region volumes and created probabilistic maps for each structure. The segmentation method and the probabilistic maps we have created will provide a foundation for future studies of cerebellar disorders using transgenic mouse models.

dc.publisherAcademic Press
dc.titleSegmentation of the C57BL/6J mouse cerebellum in magnetic resonance images
dc.typeJournal Article
dcterms.source.volume62
dcterms.source.number3
dcterms.source.startPage1408
dcterms.source.endPage1414
dcterms.source.issn1053-8119
dcterms.source.titleNeuroImage
curtin.departmentSchool of Biomedical Sciences
curtin.accessStatusFulltext not available


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