This study introduces a parallel-transmission (pTx) radio-frequency (RF) pulse-design-method to create an universal pTx RF-pulse that excites the same 3-dimensional local excitation pattern with a desired flip-angle in different human heads at 9.4T. Thus, it prospectively abandons the need for time-consuming subject specific B1+ mapping and pTx-pulse calculation during the scan session. The resulting universal pulses created magnetization profiles with an only marginal worse Normalized-Root-Mean-Square-Error (NRMSE) compared to the magnetization profiles produced by the pulses tailored to individual heads.
Introduction
Parallel-transmission (pTx) systems offer additional degrees of freedom for designing tailored RF-pulses (TPs). However, pTx-pulse-design often includes measuring the B1+field distribution for each subject. In addition, the pulse calculation is currently performed during the scan-session. That leads to lengthy scan times and prevents clinical- and research-applications of pTx. Gras et al.1,2 introduced the concept of ‘universal’ pTx-pulses, which does not require the knowledge of channel-wise B1+distribution in individual subjects, and rather relies on a pre-calculated pulse-database. However, these studies only considered the case of homogenous whole-brain excitation pulses that mitigate B1+inhomogeneity. In an own previous study3, we extend the universal pulse design concept to 2-dimensional local excitation. In this study, we investigate parallel-transmit 3-dimensional (3D) local-excitation-pulses and present a possibility to design a calibration-free ‘universal’ pTx-pulse (UP) which consistently excites the same local 3D pattern with a desired flip-angle (FA) in four different heads.For four different heads of healthy volunteers the B1+maps from each transmit channel of an 8-channel RF-coil4 were measured using a 9.4T whole body MRI scanner.
The goal was to design a single pTx-RF-pulse that would consistently excite the same 3D local pattern with a desired FA in these four heads.
Two 3D local excitation test-target-patterns where chosen: A cuboid in the center of each head and a cylinder reaching from the top to the bottom of each head. For both patterns an UP with a desired FA of 10 (FA10) and 90 (FA90) degrees, respectively, were designed. Afterwards the performances of the UPs were compared with the performances of the TPs by calculating the Normalized-Root-Mean-Square-Error (NRMSE) between the resulting magnetization profiles and the target-patterns.
To calculate the UPs the spatial domain method5 and additive angle method6 of Grissom et al. was extended to include more than one subject for which the pulse is optimized.
To design a pulse tailored to one subject, in Grissom et al.5,6 the aim was to solve the minimization problem
$$b^{* }_{TP}=\underset{b}{\arg\max}\{||Ab-m_{des}||^2\},\quad Eq.1$$
with:
The idea in this study was to solve the minimization problem for all four subjects at the same time to design the UP:
$$b^{* }_{UP} = \underset{b}{\arg\max}\left\{\left|\left|\begin{bmatrix} A_1 \\A _2\\ A_3\\A_4 \end{bmatrix}b-\begin{bmatrix} m_{des} \\m_{des}\\m_{des}\\m_{des}\end{bmatrix}\right|\right|^2\right\},\quad Eq.2$$
($$$A_i$$$ is the system-matrix for subject $$$i =1,\dots ,4,$$$ $$$b$$$ and $$$m_{des}$$$ as described above).
The problem was solved with Matlabs lsqr-function. The resulting pulse was used as an initial pulse for the optimal-control pulse-design method GRAPE7,8 (implemented that it designs the pulse based on all four subjects) to improve the pulse performance.
The pulses tailored to one specific subject was designed similarly.
First, Grissom et al.5,6 methods were applied (Eq. 1) and afterwards
the GRAPE-algorithm was executed.
3D-stack-spiral-in k-space-trajectories and a pulse-duration of 8.02 (for cuboid) and 2.21 ms (for cylinder), were choosen. T1- and T2-relaxation times were not considered during this 9.4T simulation-study.
As depicted in figure 1, the performance of the TP versus the UP is highly similar for all cases. The highest NRMSEs occur for the cuboid target-pattern with FA90. For instance, on head 1 (H1) the respective TP performs with a NRMSE of 0.059, which is only slightly better than the UP-performance with a NRMSE of 0.08.
The lowest NRMEs are achieved for the cylinder target-pattern with FA10. Here, on H1 the TP performs with a NRMSE of 0.0069, the UP performs with a NRMSE of 0.0073.
The bottom row of figure 1 shows the performance of the UP for cuboid target-pattern with FA90 on the four heads.
In figures 2, 3, 4 and 5 the respective magnetization profiles for all combinations of target-pattern and FA are presented for H1.
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