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RF pulse optimization for robust excitation in 31P magnetization transfer spectroscopy
Christina Graf1, Clemens Diwoky2, Armin Rund3, and Rudolf Stollberger1
1Institute of Biomedical Imaging, Graz University of Technology, Graz, Austria, 2Institute of Molecular Biosciences, Karl-Franzens University Graz, Graz, Austria, 3Institute for Mathematics and Scientific Computing, Karl-Franzens University Graz, Graz, Austria

Synopsis

Keywords: RF Pulse Design & Fields, RF Pulse Design & Fields

In this work, robust excitation pulses for 31P spectroscopy at 7T are designed by optimal control. The particular challenges of inhomogeneous RF field due to use of surface RF coils and broad bandwidth requirements due to the nature of 31P were addressed thoroughly. The optimized RF pulses show superior performance compared to adiabatic RF pulses during numerical simulations and phantom experiments. Application of the optimized RF pulses to T1 prediction by dual angle method is the logical consequence.

Introduction

31P magnetization transfer (MT) spectroscopy is an extremely interesting method to study phosphate metabolites involved in ATP generation1. Similar to imaging other X-nuclei rather than 1H, investigating 31P comes with the drawback of a poor SNR and a lower gyromagnetic ratio. Therefore, even at field strengths of 7T or above, surface coils are used for transmit and receive. The inhomogeneities associated with surface coils during transmit are a particular challenge for the specific measurement protocol because in addition to the pronounced $$$B_1$$$ imperfections, robust excitation must be provided for the entire width of the broad spectrum. Adiabatic RF pulses2,3, and in particular the class of BIR-4, could be used for excitation, but robustness to lower $$$B_1^+$$$ regions is limited and the implementation on the MR scanner is not trivial4. Robust RF pulse optimization for 1H inversion pulses has shown to yield excellent results in terms of efficiency5. Here, we pose the extension to optimization of robust excitation pulses for 31P MT spectroscopy. The optimized RF pulses are compared to BIR-4 RF pulses numerically, and in phantom measurements on a 7T preclinical MR system.

Theory

An optimal control framework for the design of time minimal, $$${\Delta}B_0$$$ and $$$B_1^+$$$ robust, non-selective excitation pulses is introduced. Key factor is definition of a desired magnetization pattern$$M_{des}=(0,\sin\beta,\cos\beta)^T,$$with $$$\beta$$$ being the desired flip angle. Assuming $$$N_{B_1^+}$$$ discrete instances of $$$B_1^+$$$ scales and $$$N_{{\Delta}B_0}$$$ discrete instances of $$$B_0$$$ offsets results in ensemble formulation of the cost functional through$$\underset{r,\varphi,\varepsilon,T_p}{min}J=\varepsilon+T_p+\frac{\alpha}{2}\int\limits_0^{T_p}\left(r^2(t)+\varphi^2(t)\right)dt+\frac{\mu}{p}\sum\limits_{i=1}^{N_{B_1^+}}\sum\limits_{j=1}^{N_{{\Delta}B_0}} \left(\frac{M_{des}-M_{i,j}(T_p)}{\varepsilon}\right)^p\\ \begin{cases}\frac{dM_{i,j}(t)}{dt}=A_{i,j}(t)M_{i,j}(t)+b,\\M_{i,j}(0)=(0,0,1)^T,\quad{\forall}~i=1,{\cdots}N_{B_1^+},\quad{\forall}~j=1,{\cdots}N_{{\Delta}B_0},\quad{\forall}t\in{\lbrack}0,T_p\rbrack,\\0~{\leq}~r(t)~{\leq}~r_{max},{\quad}0\leq\varphi(t)<2\pi.\end{cases}$$Therein, $$$T_p>0$$$ is the pulse duration and $$$\varepsilon>0$$$ the gap to the desired magnetization. $$$L^2$$$-regularization of the amplitude $$$r$$$ of the RF and the phase $$$\varphi$$$ is conducted with parameter $$$\alpha>0$$$. Flip angle accuracy is guaranteed within the last term in $$$J$$$, whereby an $$$L^p$$$-norm with $$$p{\geq}2$$$, $$$p$$$ even, is applied (penalization parameter $$$\mu>0$$$). In addition, the Bloch equations are solved for all instances of $$$B_1^+$$$ and $$${\Delta}B_0$$$ via symmetric operator splitting6. The inequalities facilitate box constraints on the RF pulse. The optimization is done with a trust-region semi-smooth quasi-Newton method7, whereby exact discrete derivatives are supplied by adjoint calculus8. Time minimization is conducted via a bi-level method.

Methods

The optimization was carried out in MATLAB (The Mathworks Inc., Natick, USA). Excitation pulses with flip angles of $$$15^\circ$$$ and $$$60^\circ$$$ were optimized, initialized with the corresponding BIR-4 pulses9. We set $$$r_{max}=500~\mu T$$$, and $$$B_1^+$$$ robustness was aimed for a scale of $$$40~\%$$$ to $$$120~\%$$$ (because of the coil's relevant sensitivity range) of the nominal amplitude in $$$N_{B_1^+}=81$$$ steps. $$$B_0$$$ robustness was aimed for $$$\pm15~{ppm}$$$, corresponding to bandwidth requirements of 31P, in $$$N_{{\Delta}B_0}=101$$$ steps. Within optimization, we chose $$$B_0=7~T$$$ and the gyromagnetic ratio $$$\frac{\gamma}{2\pi}=17.235~\frac{{MHz}}{{T}}$$$. For all investigated RF pulses, the time step size was $$$\tau=0.0024~ms$$$.
The optimal control pulses OC and the BIR-4 pulses were implemented on a 7T Bruker system (Biospec 70/20) within a gradient echo sequence, replacing traditional excitation pulses therein. In addition, GRE measurements with system-implemented SLR pulses with flip angles of $$$15^\circ$$$ and $$$60^\circ$$$ were performed for comparison. Phantom scans were acquired with a custom build surface coil (diameter $$$11~mm$$$) for transmit and receive. A slice phantom was created using a $$$5~ml$$$ syringe (diameter $$$12.3~mm$$$) and $$$475~\mu{l}$$$ of $$$98~\%$$$ ortho-phosphoric acid (slice thickness $$$4~mm$$$). The sequence parameters were set to $$$FOV=20\times 20~mm$$$, $$$matrix=64{\times}64$$$ and $$$TE~/~TR=2~ms~/~10~s$$$.To investigate performance regarding $$$B_1^+$$$ and $$${\Delta}B_0$$$ imperfections, we kept $$${\Delta}B_0$$$ fixed with $$$0~ppm$$$ and varied $$$B_1^+$$$ on purpose from $$$20~\%$$$ to $$$140~\%$$$. Vice versa, we set $$$B_1^+=100~\%$$$ and varied $$${\Delta}B_0$$$ for $$${\pm}19~ppm$$$ by implicitly changing the carrier frequency of the RF pulses10. A double angle $$$B_1^+$$$ map11 was acquired to gather regions with same $$$B_1^+$$$, coil sensitivities were estimated on the basis of these measurements.

Results and Discussion

The optimized RF pulses OC$$$~15^\circ$$$ and OC$$$~60^\circ$$$ show a substantially reduced pulse duration (Figure 1), however, at the cost of an increased power integral ($$$PI_{OC,15}=3.2e5$$$ vs. $$$PI_{BIR-4,15}=1.8e5$$$ and $$$PI_{OC,60}=5.0e5$$$ vs. $$$PI_{BIR-4,60}=1.8e5$$$).
Numerical simulations revealed that OC$$$~15^\circ$$$ and OC$$$~60^\circ$$$ result in an even flip angle profile within the optimized region (Figure 2). Compared to the corresponding BIR-4 RF pulses (Figure 3), improvement in flip angle accuracy is especially observed in higher $$${\Delta}B_0$$$ regions. In addition, the phase profiles of OC are substantially smoother than with BIR-4 which is favored. For both OC pulses, less outliers are observed in flip angle and phase within the red boxes.
In phantom measurements, the superior performance of the OC pulses is observed in Figure 4. Both BIR-4 pulses result in the real experiment in inferior performance as expected from numerical simulations (Figure 3). This is a commonly known disadvantage of the BIR-4 class, arising from the phase jumps where the RF amplitude is zero4. The system-built in SLR RF pulses result in an exact flip angle at the region with ($$$B_1^+=100~\%$$$, $$${\Delta}B_0=0~ppm$$$), but worse performance anywhere else.

Conclusion and Outlook

$$$15^\circ$$$ and $$$60^\circ$$$ RF pulses for 31P spectroscopy were designed by optimal control, resulting in excellent performance for a broad range of $$$B_1^+$$$ imperfections and resonance offsets. This was verified in extensive numerical simulations, and phantom measurements with additional comparison to adiabatic RF pulses. A logical consequence of the presented work is application of the OC pulses to $$$T_1$$$ mapping by a fast dual-angle method12.

Acknowledgements

No acknowledgement found.

References

1. Liu Y, Gu Y, Yu X. Assessing tissue metabolism by phosphorous-31 magnetic resonance spectroscopy and imaging: a methodology review. QIMS. 2017;7(6):707-726.

2. Garwood M, Ke Y. Symmetric pulses to induce arbitrary flip angles with compensation for RF inhomogeneity and resonance offsets. J Magn Reson. 1991;94:511-525.

3. De Graaf RA. In Vivo NMR Spectroscopy. John Wiley & Sons, 2007.

4. Bottomley PA, Ouwerkerk R. BIRP, an Improved Implementation of Low-Angle Adiabatic (BIR-4) Excitation Pulses. J Magn Reson. 1993;103(2):242--244.

5. Graf C, Söllradl M, Aigner CS, Rund A, Stollberger R. Advanced Design of MRI Inversion Pulses for Inhomogeneous Field Conditions by Optimal Control. NMR Biomed. 2022;35:e4790.

6. Graf C, Rund A, Aigner CS, Stollberger R. Accuracy and Performance Analysis for Bloch and Bloch-McConnell simulation Methods. J Magn Reson. 2021;329:107011.

7. Mannel F, Rund A. A hybrid semismooth quasi-Newton method for nonsmooth optimal control with PDEs. Optim Eng. 2020.

8. Tröltzsch F. Optimal Control of Partial Differential Equations. Vieweg + Teubner, 2009.

9. De Graaf RA, Nicolay K. Adiabatic rf Pulses: Applications to In Vivo NMR. John Wiley & Sons, 1997.

10. Bernstein MA, King KF, Zhou XJ. Handbook of {MRI} Pulse Sequences. Oxford: Elsevier Academic Press, 2004.

11. Stollberger R, Wach P. Imaging of the Active B1 field in vivo. Magn Reson Med. 1996;35:246--251.

12. Bottomley PA, Ouwerkerk R. The Dual-Angle Method for Fast, Sensitive T1 Measurement in Vivo with Low-Angle Adiabatic Pulses. J Magn Reson. 1994;104(2):159-167.

Figures

Figure 1. Optimized (left) and BIR-4 (right) RF pulses for flip angles of 15° (top) and 60° (bottom). The BIR-4 pulses were designed with parameters rmax = 500 μT, Δω = 3.5 kHz, ζ = 10, κ = arctan(20), β = 5.3 and a pulse duration of Tp = 4 ms. Time optimal control reduced the pulse duration to Tp,15 = 1.62 ms and Tp,60=2.47 ms, respectively.

Figure 2. Numerically simulated flip angles (left) and phase maps of the complex magnetization vectors (right) for the optimized 15° pulse (top) and 60° pulse (bottom). The red boxes indicated the optimized areas, i.e. B1+ scaled for 40 % to 120 % and ΔB0 for ±15 ppm.

Figure 3. Numerically simulated flip angles (left) and phase maps of the complex magnetization vectors (right) for the BIR-4 15° pulse (top) and 60° pulse (bottom). The red boxes indicated the reference area for comparison to the optimized RF pulses OC 15° and OC 60°.

Figure 4. Measured flip angles testing the 15° pulses (left) and 60° pulses (right). Various scales of B1+ from 20 % to 140 % are investigated (top), in addition to varied ΔB0 for ±19 ppm (bottom). The gray boxes depict the area outside the optimization target. Within all 4 plots, the green dotted lines depict the desired flip angle. The line data was smoothed with Matlab's smooth function with a span of 5 data points for the ΔB0 lines, and 30 data points for the B1+ lines.

Proc. Intl. Soc. Mag. Reson. Med. 31 (2023)
4562
DOI: https://doi.org/10.58530/2023/4562