Deddah Tahya, Styner Martin, Prieto Juan
Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, United States.
Department of Computer Science, University of North Carolina, Chapel Hill, North Carolina, United States.
Proc SPIE Int Soc Opt Eng. 2022 Feb-Mar;12036. doi: 10.1117/12.2613210. Epub 2022 Apr 4.
The quantification of cerebrospinal fluid (CSF), specifically the extra-axial cerebrospinal fluid (EA-CSF), which is the CSF in the subarachnoid space surrounding the cortical surface of the brain, has recently been shown to play an important role in the neuropathology of autism spectrum disorder (ASD) in infants. While prior work addressed measuring the global volume of EA-CSF, there was no available tool that quantifies the local, anatomical distribution of the EA-CSF. A localized EA-CSF quantification would provide more accurate and interpretable measurements. In our recent work, we proposed such a local EA-CSF extraction by using a pipeline that combines probabilistic brain tissue segmentation, cortical surface reconstruction and streamline-based local EA-CSF quantification. Yet, that system had several shortcomings, in particular a lack of available software tools, as well as a quantification where EA-CSF portions are counted multiple times. The purpose of this article is to present a novel, graphical user interface based, publicly available software tool, called LocalEACSF, which allows the user to easily run an adapted version of this pipeline and provide a set of straightforward quality control visualizations to assess the quality of the EA-CSF quantification. This tool further adds improvements and optimizations to the prior assessment. The LocalEACSF tool allows neuroimaging labs to compute a local extraction of extra-axial CSF in their neuroimaging studies in order to investigate its role in normal and atypical brain development, without the need for extensive technical knowledge.
脑脊液(CSF)的量化,特别是脑外脑脊液(EA-CSF),即围绕大脑皮质表面蛛网膜下腔中的脑脊液,最近已被证明在婴儿自闭症谱系障碍(ASD)的神经病理学中起重要作用。虽然先前的工作致力于测量EA-CSF的总体积,但尚无可用工具来量化EA-CSF的局部解剖分布。局部EA-CSF量化将提供更准确且可解释的测量结果。在我们最近的工作中,我们提出了一种通过使用结合概率性脑组织分割、皮质表面重建和基于流线的局部EA-CSF量化的流程来进行局部EA-CSF提取的方法。然而,该系统存在几个缺点,特别是缺乏可用的软件工具,以及存在EA-CSF部分被多次计数的量化问题。本文的目的是介绍一种新颖的、基于图形用户界面的、公开可用的软件工具,称为LocalEACSF,它允许用户轻松运行此流程的适配版本,并提供一组直观的质量控制可视化结果,以评估EA-CSF量化的质量。该工具进一步对先前的评估进行了改进和优化。LocalEACSF工具允许神经影像实验室在其神经影像研究中计算脑外脑脊液的局部提取量,以便研究其在正常和非典型脑发育中的作用,而无需广泛的技术知识。