An automated approach to fully self-gated free-running cardiac and respiratory motion-resolved 5D whole-heart MRI
An automated approach to fully self-gated free-running cardiac and respiratory motion-resolved 5D whole-heart MRI
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DOI：
10.1002/mrm.27898
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发表时间：
2019-07-18
影响因子：
3.3
通讯作者：
Yerly, Jerome
中科院分区：
文献类型：
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作者：
Di Sopra, Lorenzo;Piccini, Davide;Yerly, Jerome
目的将先前报道的心电图（ECG）门控、运动分辨5D压缩感知全心稀疏MRI方法发展为自动化、优化和完全自门控的自由运行框架，其中不再需要外部门控或触发设备。方法12名健康志愿者，采用非心电触发的3D放射状黄金角1.5T平衡SSFP序列，采集心脏和呼吸门控信号。为了提取心脏自门控信号，对选定的k空间曲线进行中心k空间系数信号分析（k（0）调制）以及独立和主成分分析。为自动化方案选择产生与参考ECG的触发点偏差最小的触发点的程序。因此，优化的心脏和呼吸自门控信号被用于压缩感测重建流水线中的分箱。冠状动脉血管长度和清晰度得到的5D图像进行了比较与心电门控获得的图像重建。结果主成分分析的心脏自门控触发与参考心电图的偏差（17.4 ± 6.1ms）小于k（0）调制（26 ± 7.5ms）或独立成分分析（19.8 ± 5.2ms）。心脏和呼吸运动分辨的5D图像成功地重建与自动化和完全自门控的方法。完全自门控和心电门控重建的冠状动脉血管长度和清晰度无显著差异（均P >=.06）。结论运动分辨5D压缩感知全心脏稀疏MRI已成功开发为自动化、优化和完全自门控的自由运行框架，其中不再强制使用外部门控、触发设备或导航器。所得到的冠状动脉MRA图像质量与传统ECG门控获得的图像质量相当。
Purpose To develop a previously reported, electrocardiogram (ECG)-gated, motion-resolved 5D compressed sensing whole-heart sparse MRI methodology into an automated, optimized, and fully self-gated free-running framework in which external gating or triggering devices are no longer needed. Methods Cardiac and respiratory self-gating signals were extracted from raw image data acquired in 12 healthy adult volunteers with a non-ECG-triggered 3D radial golden-angle 1.5 T balanced SSFP sequence. To extract cardiac self-gating signals, central k-space coefficient signal analysis (k(0) modulation), as well as independent and principal component analyses were performed on selected k-space profiles. The procedure yielding triggers with the smallest deviation from those of the reference ECG was selected for the automated protocol. Thus, optimized cardiac and respiratory self-gating signals were used for binning in a compressed sensing reconstruction pipeline. Coronary vessel length and sharpness of the resultant 5D images were compared with image reconstructions obtained with ECG-gating. Results Principal component analysis-derived cardiac self-gating triggers yielded a smaller deviation (17.4 +/- 6.1ms) from the reference ECG counterparts than k(0) modulation (26 +/- 7.5ms) or independent component analysis (19.8 +/- 5.2ms). Cardiac and respiratory motion-resolved 5D images were successfully reconstructed with the automated and fully self-gated approach. No significant difference was found for coronary vessel length and sharpness between images reconstructed with the fully self-gated and the ECG-gated approach (all P >=.06). Conclusion Motion-resolved 5D compressed sensing whole-heart sparse MRI has successfully been developed into an automated, optimized, and fully self-gated free-running framework in which external gating, triggering devices, or navigators are no longer mandatory. The resultant coronary MRA image quality was equivalent to that obtained with conventional ECG-gating.