Replication Data and Code for: Receive coil Quality Assurance procedure and automated analysis for ViewRay MRIdian MR-Linac

This data set provides supporting material for the Journal of Applied Clinical Medical Physics 2024 paper “Receive coil Quality Assurance procedure and automated analysis for ViewRay MRIdian MR-Linac”, https://doi.org/10.1002/acm2.14275. It contains the data and the code used to produce the figures in the paper, as well as data analysis instructions and code description. The data folders contain original images of a test object (“phantom”) used for magnetic resonance (MR) image quality assurance of the MR-Linac receiving coils, and results of image signal-to-noise ratio (SNR) and uniformity. SNR is assessed for whole coils and for individual coil elements. The MATLAB code is applicable not only for the MRIdian system but also for images of homogenous phantoms acquired with any MR scanner and coils.本数据集为《Journal of Applied Clinical Medical Physics》2024年刊发的论文《面向ViewRay MRIdian MR-Linac的接收线圈（Receive coil）质量保证（Quality Assurance）程序与自动化分析》提供支撑材料，论文链接为https://doi.org/10.1002/acm2.14275。数据集包含用于生成该论文配图的数据与代码，同时附带数据分析操作指南与代码说明文档。数据文件夹内存储了用于MR-Linac接收线圈磁共振（Magnetic Resonance, MR）图像质量保证的测试体模（phantom）原始图像，以及图像信噪比（Signal-to-Noise Ratio, SNR）与均匀性的检测结果。其中，信噪比评估覆盖整组接收线圈与单个线圈单元。本数据集所附MATLAB代码不仅适用于MRIdian系统，还可用于任意磁共振扫描仪与线圈采集的均匀体模图像。