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首页> 外文期刊>Journal of magnetic resonance imaging: JMRI >Signal polarity restoration in a 3D inversion recovery sequence used with delayed gadolinium-enhanced magnetic resonance imaging of cartilage (dGEMRIC)
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Signal polarity restoration in a 3D inversion recovery sequence used with delayed gadolinium-enhanced magnetic resonance imaging of cartilage (dGEMRIC)

机译:3D反转恢复序列中的信号极性恢复,与延迟g增强的软骨磁共振成像(dGEMRIC)一起使用

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摘要

Purpose: To develop an image reconstruction algorithm that restores the signal polarity in a three-dimensional inversion-recovery (3D-IR) sequence used in delayed gadolinium-enhanced MRI of cartilage (dGEMRIC). This approach effectively doubles the dynamic range of data used for T1 curve fitting. Materials and Methods: We applied this reconstruction algorithm to a 3D-IR TFE sequence used for T1 mapping, validated the technique in a phantom study, and performed T1-map calculations in postosteochondral allograft transplant (OAT) patients. In addition, we performed a signal simulation study to assess the algorithm's capability to reduce the number of inversion times used in the 3D-IR TFE sequence. Results: In comparison to a standard T1-mapping algorithm that uses the magnitude of the MRI signal, the proposed algorithm improves the reliability of T1 relaxation fits to the inversion-recovery three-parameter function. The signal simulation study shows that the number of TI inversion times can be reduced to as few as four, without compromising the accuracy of T1 calculations. Conclusion: This algorithm can be applied to any 2D- or 3D-IR acquisition sequence used in conjunction with dGEMRIC. Application of the algorithm improves the reliability of T1 calculations and allows the number of TIs to be reduced, leading to shorter scan times in dGEMRIC.
机译:目的:开发一种图像重建算法,以在延迟in增强的MRI(dGEMRIC)中使用的三维反转恢复(3D-IR)序列中恢复信号极性。这种方法有效地将用于T1曲线拟合的数据的动态范围加倍。材料和方法:我们将此重建算法应用于用于T1映射的3D-IR TFE序列,在幻像研究中验证了该技术,并对骨软骨后同种异体移植(OAT)患者进行了T1-map计算。此外,我们进行了信号仿真研究,以评估算法减少3D-IR TFE序列中使用的反转次数的能力。结果:与使用MRI信号幅度的标准T1映射算法相比,该算法提高了T1松弛拟合与反演恢复三参数函数的可靠性。信号仿真研究表明,TI反转时间的数量可以减少至四个,而不会影响T1计算的准确性。结论:该算法可应用于与dGEMRIC结合使用的任何2D或3D-IR采集序列。该算法的应用提高了T1计算的可靠性,并减少了TI的数量,从而缩短了dGEMRIC中的扫描时间。

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