There is an increasing availability of large imaging cohorts [such as through The Cancer Imaging Archive (TCIA)] for computational model development and imaging research. To ensure development of generalizable computerized models, there is a need to quickly determine relative quality differences in these cohorts, especially when considering MRI datasets which can exhibit wide variations in image appearance. The purpose of this study is to present a quantitative quality control tool, MRQy, to help interrogate MR imaging datasets for: (a) site‐ or scanner‐specific variations in image resolution or image contrast, and (b) imaging artifacts such as noise or inhomogeneity; which need correction prior to model development.

中文翻译：

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技术说明：MRQy — 一种用于 MR 成像数据质量控制的开源工具

越来越多的大型成像队列 [例如通过癌症成像档案 (TCIA)] 用于计算模型开发和成像研究。为确保可推广的计算机模型的开发，需要快速确定这些队列中的相对质量差异，尤其是在考虑 MRI 数据集时，这些数据集可能会在图像外观方面表现出很大差异。本研究的目的是提出一种定量质量控制工具 MRQy，以帮助查询 MR 成像数据集：（a）图像分辨率或图像对比度的特定于站点或扫描仪的变化，以及（b）成像伪影，例如噪声或不均匀性；在模型开发之前需要更正。