Paul Jan, Divkovic Evica, Wundrak Stefan, Bernhardt Peter, Rottbauer Wolfgang, Neumann Heiko, Rasche Volker
Department of Internal Medicine II, University Hospital of Ulm, Ulm, Germany.
Institute of Neural Information Processing, University of Ulm, Ulm, Germany.
Magn Reson Med. 2015 Jan;73(1):292-8. doi: 10.1002/mrm.25102. Epub 2014 Jan 29.
To compare the applicability of different self-gating (SG) strategies for respiratory SG in cardiac MRI in combination with iteratively reconstructed (k-t SPARSE SENSE) cine data with low and high temporal resolution.
Eleven SG variants were compared in five volunteers by assessment of the resulting image sharpness compared with nongated reconstructions. Promising SG techniques were applied for high temporal resolution reconstructions of the heart function.
SG was successful in all volunteers with image-based SG and the ∑||p|| technique. These approaches were also superior to gating from the respiratory bellows signal on average. Combination with k-t SPARSE SENSE enabled high temporally resolved visualization of the heart motion with free breathing.
Respiratory SG can be applied for improving image sharpness. Combining SG with iterative reconstruction allows generation of high temporal resolution cine data, which reveal more details of cardiac motion.
比较不同的自门控(SG)策略在心脏磁共振成像(MRI)中用于呼吸自门控的适用性,这些策略与具有低时间分辨率和高时间分辨率的迭代重建(k-t SPARSE SENSE)电影数据相结合。
通过评估与非门控重建相比所得到的图像清晰度,在五名志愿者中比较了11种SG变体。将有前景的SG技术应用于心脏功能的高时间分辨率重建。
基于图像的SG和∑||p||技术在所有志愿者中实现了成功的自门控。这些方法平均也优于根据呼吸波纹管信号进行的门控。与k-t SPARSE SENSE相结合能够在自由呼吸状态下对心脏运动进行高时间分辨率的可视化。
呼吸自门控可用于提高图像清晰度。将自门控与迭代重建相结合能够生成高时间分辨率的电影数据,从而揭示心脏运动的更多细节。