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.

在磁共振指纹法（MRF）的MRI技术中，脉冲序列通常采用螺旋轨迹进行数据读出。在静态场失谐的情况下，螺旋k空间采集在空间域中容易产生模糊。此处提供的数据，经过相关的公开可用代码（参见相关链接）处理，展示了螺旋MRF中模糊校正算法的应用。所提供的执行代码与数据展示了该校正算法在幻影和活体实验中的有效性。结果显示，通过应用此校正，T1和T2参数图的质量得到提升。该MRF校正对一致性相关系数的影响微乎其微，并且相对于未校正的测量，改善了失谐区域的变异系数。