Replication data for: Multi-frequency interpolation in spiral magnetic resonance fingerprinting for correction of off-resonance blurring

In the MRI method of magnetic resonance fingerprinting (MRF) pulse sequences often employ spiral trajectories for data readout. Spiral k-space acquisitions are vulnerable to blurring in the spatial domain in the presence of static field off-resonance. The data here when processed by the associated publicly available code (see related links) shows the application of a blurring correction algorithm for use in spiral MRF. The supplied data with the executed code demonstrate the correction's effectiveness in phantom and in vivo experiments. Results show that image quality of T1 and T2 parametric maps is improved by application of this correction. This MRF correction has negligible effect on the concordance correlation coefficient and improves coefficient of variation in regions of off-resonance relative to uncorrected measurements.在磁共振成像（Magnetic Resonance Imaging, MRI）的磁共振指纹成像（Magnetic Resonance Fingerprinting, MRF）方法中，脉冲序列通常采用螺旋轨迹完成数据读出。螺旋k空间采集在存在静态磁场失谐的情况下，易在空间域产生模糊伪影。本数据集通过配套的公开可用代码（详见相关链接）进行处理，该代码展示了适用于螺旋MRF的模糊校正算法的应用。运行该代码得到的数据，验证了该校正算法在体模实验与活体实验中的有效性。实验结果表明，应用该校正算法可提升T1与T2参数图的成像质量。相较于未校正的测量结果，该MRF校正算法对一致性相关系数的影响可忽略不计，同时可改善失谐区域内的变异系数表现。