Department of Biomedical Engineering, University of Basel, Basel, Switzerland.
Division of Radiological Physics, Department of Radiology, University Hospital Basel, Basel, Switzerland.
Magn Reson Med. 2024 Jan;91(1):162-173. doi: 10.1002/mrm.29838. Epub 2023 Aug 20.
To improve the gray/white matter contrast of magnetization prepared rapid gradient echo (MP-RAGE) MRI at 0.55 T by optimizing the acquisition and sequence kernel parameters.
A segmented magnetization prepared rapid gradient echo prototype sequence was implemented with (MP-RAGE*) and without (MP-FISP*) radiofrequency spoiling. Optimized parameters were derived with the assistance of an extended phase graph signal simulation as a function of the relaxation times, the flip angle, the delay times, and the effective inversion time using segmentation. The resulting protocols were compared to the MP-RAGE product sequence offered by the vendor in terms of signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR). A tissue segmentation reproducibility study was performed on three volunteers for the product MP-RAGE and the MP-FISP*.
The MP-RAGE simulation reproduced the parameters already used in the product MP-RAGE on the scanner. An average CNR improvement of 15% for the custom MP-RAGE* over the product MP-RAGE and additional 22% for the MP-FISP* over the MP-RAGE* were observed, which is in accordance with the simulation results. The total improvement, averaged over all volunteers and regions, was 41%. The reproducibility study did not yield a significant difference between MP-RAGE and MP-FISP*.
We presented some easy-to-implement adjustments to the MP-RAGE sequence at 0.55 T, which can lead to an overall average improvement of 41% in CNR.
通过优化采集和序列核参数,提高 0.55T 场强下磁化准备快速梯度回波(MP-RAGE)MRI 的灰/白质对比度。
实现了一种分段磁化准备快速梯度回波原型序列(MP-RAGE*),并分别采用(MP-FISP*)和不采用(MP-FISP*)射频扰相。通过扩展相位图信号模拟,作为弛豫时间、翻转角、延迟时间和分段有效反转时间的函数,协助优化参数。根据信噪比(SNR)和对比噪声比(CNR),将优化后的方案与供应商提供的 MP-RAGE 产品序列进行比较。对三位志愿者进行了组织分割重复性研究,比较了产品 MP-RAGE 和 MP-FISP*。
MP-RAGE 模拟再现了扫描器中已经使用的产品 MP-RAGE 参数。与产品 MP-RAGE 相比,定制的 MP-RAGE的 CNR 平均提高了 15%,与 MP-RAGE相比,MP-FISP的 CNR 平均提高了 22%,这与模拟结果一致。所有志愿者和区域的平均总改善率为 41%。重复性研究并未显示 MP-RAGE 和 MP-FISP之间存在显著差异。
我们提出了一些在 0.55T 下对 MP-RAGE 序列的简单易行的调整,可以使 CNR 平均提高 41%。