Institute of Biomedical Imaging, Graz University of Technology, Graz, Austria.
Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany.
NMR Biomed. 2022 Nov;35(11):e4790. doi: 10.1002/nbm.4790. Epub 2022 Aug 2.
Non-selective inversion pulses find widespread use in MRI applications, where requirements on them are increasingly demanding. With the use of high and ultra-high field strength systems, robustness to and inhomogeneities, while tackling SAR and hardware limitations, has rapidly become important. In this work, we propose a time-optimal control framework for the optimization of - and -robust inversion pulses. Robustness is addressed by means of ensemble formulations, while allowing inclusion of hardware and energy limitations. The framework is flexible and performs excellently for various optimization goals. The optimization results are analyzed extensively in numerical experiments. Furthermore, they are validated, and compared with adiabatic RF pulses, in various phantom and in vivo measurements on a 3 T MRI system.
非选择性反转脉冲在 MRI 应用中得到了广泛的应用,对它们的要求也越来越高。随着高场和超高场强系统的使用,对 和 不均匀性的鲁棒性,同时解决 SAR 和硬件限制,已经迅速变得重要。在这项工作中,我们提出了一个时间最优控制框架,用于优化 和 鲁棒反转脉冲。鲁棒性是通过集合公式来解决的,同时允许包括硬件和能量限制。该框架具有灵活性,在各种优化目标下表现出色。在数值实验中对优化结果进行了广泛的分析。此外,它们在 3T MRI 系统上的各种体模和体内测量中进行了验证,并与绝热 RF 脉冲进行了比较。