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

Authors
Journal
NeuroImage
1053-8119
Publisher
Elsevier
Volume
62
Issue
3
Identifiers
DOI: 10.1016/j.neuroimage.2012.05.061
Keywords
  • Cerebellum
  • Vermis
  • Magnetic Resonance
  • Probabilistic Map
  • Mouse Brain
  • Atlas
  • Segmentation
Disciplines
  • Biology
  • Medicine

Abstract

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.

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