Evaluation of Atlas based Mouse Brain Segmentation.
Evaluation of Atlas based Mouse Brain Segmentation.
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DOI：
10.1117/12.812762
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发表时间：
2009-02-01
期刊：
影响因子：
--
通讯作者：
Styner M
中科院分区：
文献类型：
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作者：
Lee J;Jomier J;Aylward S;Tyszka M;Moy S;Lauder J;Styner M
磁共振成像在小鼠表型研究中的应用是了解人类疾病的重要工具之一。在本文中，我们提出了一个全自动流水线的过程中的形态测量小鼠脑分析。该方法基于基于图谱的组织和区域分割，最初是为人脑开发的。为了评估我们的方法，我们进行了定性和定量的验证研究，以及比较的b样条和流体配准方法作为管道中的组件。确认研究包括目视检查、形状和体积测量以及配准方法相对于处理管道中各种参数设置的稳定性。结果表明，流体和b样条配准方法在小鼠环境中工作良好，但流体配准更稳定。此外，我们通过比较FVB背景中的Fmr 1 FXS与C57 BL/6 J小鼠品系之间的体积差异来评估我们的分割方法。
Magentic Reasonance Imaging for mouse phenotype study is one of the important tools to understand human diseases. In this paper, we present a fully automatic pipeline for the process of morphometric mouse brain analysis. The method is based on atlas-based tissue and regional segmentation, which was originally developed for the human brain. To evaluate our method, we conduct a qualitative and quantitative validation study as well as compare of b-spline and fluid registration methods as components in the pipeline. The validation study includes visual inspection, shape and volumetric measurements and stability of the registration methods against various parameter settings in the processing pipeline. The result shows both fluid and b-spline registration methods work well in murine settings, but the fluid registration is more stable. Additionally, we evaluated our segmentation methods by comparing volume differences between Fmr1 FXS in FVB background vs C57BL/6J mouse strains.