Segmentation of the C57BL/6J mouse cerebellum in magnetic resonance images

Jeremy F Ullmann, Marianne D Keller, Charles Watson, Andrew L Janke, Nyoman D Kurniawan, Zhengyi Yang, Kay Richards, George Paxinos, Gary Francis Egan, Steven Petrou, Perry Bartlett, Graham J Galloway, Davic C Reutens

Research output: Contribution to journalArticleResearchpeer-review

23 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)1408 - 1414
Number of pages7
JournalNeuroImage
Volume62
Issue number3
DOIs
Publication statusPublished - 2012

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