用于校正失谐模糊的螺旋磁共振指纹图谱中的多频率插值
Multi-frequency interpolation in spiral magnetic resonance fingerprinting for correction of off-resonance blurring.
作者信息
Ostenson Jason, Robison Ryan K, Zwart Nicholas R, Welch E Brian
机构信息
Vanderbilt University Institute of Imaging Science, Nashville, TN 37232, USA; Chemical and Physical Biology Program, Vanderbilt University, Nashville, TN 37232, USA.
Imaging Research, Barrow Neurological Institute, Phoenix, AZ 85013, USA.
出版信息
Magn Reson Imaging. 2017 Sep;41:63-72. doi: 10.1016/j.mri.2017.07.004. Epub 2017 Jul 8.
Abstract
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. This work describes a blurring correction algorithm for use in spiral MRF and demonstrates its 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.
摘要
磁共振指纹识别（MRF）脉冲序列通常采用螺旋轨迹进行数据读出。在存在静磁场失谐的情况下，螺旋k空间采集在空间域容易出现模糊。这项工作描述了一种用于螺旋MRF的模糊校正算法，并在体模和体内实验中证明了其有效性。结果表明，应用这种校正可提高T1和T2参数图的图像质量。这种MRF校正对一致性相关系数的影响可忽略不计，并且相对于未校正的测量，可提高失谐区域的变异系数。
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