Derivation of Quality Measures from Structural Images by Neuroimaging Pipelines

Using the National Database for Autism Research cloud platform, MRI data were analyzed using neuroimaging pipelines that included packages available as part of the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) Computational Environment to derive standardized measures of MR image quality. Structural QA was performed according to Haselgrove, et al (http://journal.frontiersin.org/Journal/10.3389/fninf.2014.00052/abstract) to provide values for Signal to Noise Ratio that can be compared to other subjects. Diffusion QA was performed according to Liu, et al (http://www.ncbi.nlm.nih.gov/pubmed/24353379), which provides a number of pass/fail checks and advisory flags.

本研究依托自闭症研究国家数据库（National Database for Autism Research）云平台，采用集成神经影像信息学工具与资源交换中心（Neuroimaging Informatics Tools and Resources Clearinghouse, NITRC）计算环境内置工具包的神经影像处理流水线，对磁共振成像（Magnetic Resonance Imaging, MRI）数据进行分析，以获取标准化的磁共振图像质量评估指标。结构质量保证（Quality Assurance, QA）流程参照Haselgrove等人的研究（http://journal.frontiersin.org/Journal/10.3389/fninf.2014.00052/abstract）开展，以生成可与其他受试者对比的信噪比（Signal to Noise Ratio, SNR）数值。弥散成像质量保证流程则参照Liu等人的研究（http://www.ncbi.nlm.nih.gov/pubmed/24353379）执行，该流程包含多项合格/不合格检查项及提示性标记。