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C57BL/6J 小鼠小脑磁共振图像分割。

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

机构信息

Centre for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia.

出版信息

Neuroimage. 2012 Sep;62(3):1408-14. doi: 10.1016/j.neuroimage.2012.05.061. Epub 2012 May 30.

DOI:10.1016/j.neuroimage.2012.05.061
PMID:22658976
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.

摘要

C57BL 小鼠是利用基因靶向技术研究小脑病理学的核心,因此需要为该品系的小脑创建详细的磁共振成像 (MRI) 图谱。在这项研究中,我们提出了一种在 C57BL/6J 小鼠的磁共振图像中系统描绘小脑蚓部和半球叶的方法。我们已经成功地描绘了 38 个小脑和与小脑相关的结构。通过组平均获得的更高信噪比有助于识别解剖结构。此外,我们还计算了每个结构的平均区域体积并创建了概率图。我们创建的分割方法和概率图将为使用转基因小鼠模型研究小脑疾病提供基础。

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