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

Ullmann, Jeremy F. P., Keller, Marianne D., Watson, Charles, Janke, Andrew L., Kurniawan, Nyoman D., Yang, Zhengyi, Richards, Kay, Paxinos, George, Egan, Gary F., Petrou, Steven, Bartlett, Perry, Galloway, Graham J. and Reutens, David C. (2012) Segmentation of the C57BL/6J mouse cerebellum in magnetic resonance images. NeuroImage, 62 3: 1408-1414. doi:10.1016/j.neuroimage.2012.05.061

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Author Ullmann, Jeremy F. P.
Keller, Marianne D.
Watson, Charles
Janke, Andrew L.
Kurniawan, Nyoman D.
Yang, Zhengyi
Richards, Kay
Paxinos, George
Egan, Gary F.
Petrou, Steven
Bartlett, Perry
Galloway, Graham J.
Reutens, David C.
Total Author Count Override 13
Title Segmentation of the C57BL/6J mouse cerebellum in magnetic resonance images
Journal name NeuroImage   Check publisher's open access policy
ISSN 1053-8119
Publication date 2012-09
Sub-type Article (original research)
DOI 10.1016/j.neuroimage.2012.05.061
Open Access Status File (Author Post-print)
Volume 62
Issue 3
Start page 1408
End page 1414
Total pages 7
Place of publication Maryland Heights, MO, United States
Publisher Academic Press
Collection year 2013
Language eng
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.
Keyword Cerebellum
Magnetic resonance
Probabilistic map
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
Official 2013 Collection
Centre for Advanced Imaging Publications
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Citation counts: TR Web of Science Citation Count  Cited 13 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 13 times in Scopus Article | Citations
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Created: Mon, 18 Jun 2012, 13:27:52 EST by Sandrine Ducrot on behalf of Centre for Advanced Imaging