Enhanced Cortical Thickness Measurements for Rodent Brains via Lagrangian-based RK4 Streamline Computation.
Enhanced Cortical Thickness Measurements for Rodent Brains via Lagrangian-based RK4 Streamline Computation.
复制标题
通过基于拉格朗日的 RK4 流线计算增强啮齿动物大脑的皮质厚度测量。
DOI：
10.1117/12.2216420
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Styner,Martin
中科院分区：
文献类型：
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作者：
Lee,Joohwi;Kim,SunHyung;Oguz,Ipek;Styner,Martin
哺乳动物大脑皮质厚度是一个重要的形态学特征，可用于研究和观察可能由生物毒性物质（如乙醇或可卡因）引起的大脑发育变化。虽然已经提出了各种适用于人脑的皮层厚度分析方法，并且已经开发成经过充分验证的开源软件包，但啮齿动物大脑的皮层厚度分析方法尚未变得像为人脑设计的那些方法那样稳健和准确。基于先前提出的用于啮齿动物大脑分析的皮质厚度测量管道，1我们在准确性和解剖学一致性方面提出了增强的皮质厚度管道。首先，我们提出了一个基于拉格朗日的计算方法，在厚度测量步骤，以尽量减少局部截断误差使用四阶龙格库塔法。其次，通过为厚度测量的每个流线构造线对象，我们可以可视化厚度测量的方式，并通过执行几何后处理实现亚体素精度。最后，强调解剖学上一致的偏微分方程（PDE）边界图的重要性，我们提出了一个自动PDE边界图生成算法，是特定于啮齿动物的大脑解剖，这不需要手动标记。结果表明，所提出的皮层厚度流水线可以产生在先前的皮层厚度分析流水线中未观察到的统计上显著的区域。
The cortical thickness of the mammalian brain is an important morphological characteristic that can be used to investigate and observe the brain’s developmental changes that might be caused by biologically toxic substances such as ethanol or cocaine. Although various cortical thickness analysis methods have been proposed that are applicable for human brain and have developed into well-validated open-source software packages, cortical thickness analysis methods for rodent brains have not yet become as robust and accurate as those designed for human brains. Based on a previously proposed cortical thickness measurement pipeline for rodent brain analysis,1 we present an enhanced cortical thickness pipeline in terms of accuracy and anatomical consistency. First, we propose a Lagrangian-based computational approach in the thickness measurement step in order to minimize local truncation error using the fourth-order Runge-Kutta method. Second, by constructing a line object for each streamline of the thickness measurement, we can visualize the way the thickness is measured and achieve sub-voxel accuracy by performing geometric post-processing. Last, with emphasis on the importance of an anatomically consistent partial differential equation (PDE) boundary map, we propose an automatic PDE boundary map generation algorithm that is specific to rodent brain anatomy, which does not require manual labeling. The results show that the proposed cortical thickness pipeline can produce statistically significant regions that are not observed in the the previous cortical thickness analysis pipeline.