Carl Julius Jacob Herrmann1, Ludger Starke1,2, Jason M. Millward1, Friedemann Paul3,4,5, Joseph Kuchling3,4,5, and Thoralf Niendorf1,3
1Berlin Ultrahigh Field Facility, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 2Digital Health - Machine Learning Research Group, Digital Health Center, Hasso Plattner Institute, University of Potsdam, Potsdam, Germany, 3Experimental und Clinical Research Center (ECRC), a joint cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine, Berlin, Germany, 4NeuroCure Clinical Research Center, Charité Medical Faculty, Berlin, Germany, 5Department of Neurology, Charité Medical Faculty, Berlin, Germany
Synopsis
We
previously applied a radially-sampled RARE-EPI hybrid for simultaneous T2
and T2* mapping (2in1-RARE-EPI) in patients with multiple sclerosis,
which reduced the scan time to 77% compared to Multi-Spin-Echo (MSE)
and Multi-Gradient-Recalled-Echo (MGRE). Here we examine the potential for further acceleration utilizing
a compressed sensing reconstruction of highly undersampled 2in1-RARE-EPI data. The
accelerated T2 and T2* mapping is benchmarked against the
MSE and MGRE references using regression and Bland-Altman plot analysis and the
mean absolute percentage error. Our results show that an undersampling factor
of 8-12 is feasible, achieving an acquisition time reduction to 23-17% compared
to the references.
Introduction
The characteristic MRI features of multiple sclerosis (MS) lesions make it conceptually appealing to pursue simultaneous parametric mapping of multiple MR contrast mechanisms
1. We previously developed a radially-sampled RARE-EPI hybrid that facilitates simultaneous T
2 and T
2* mapping (2in1-RARE-EPI)
2. By using a hybrid acquisition and a modest radial undersampling, the acquisition time for T
2 and T
2* mapping was reduced to 77% compared to the reference methods Multi-Spin-Echo (MSE) and Multi-Gradient-Recalled-Echo (MGRE). Further reduction in scan time would promote patient comfort and is a fundamental precursor for broader clinical studies on the potential of T
2 and T
2* as biomarkers in MS. Recognizing this opportunity, this work demonstrates the feasibility of highly accelerated simultaneous T
2 and T
2* mapping in MS patients using compressed sensing reconstruction (CS)
3 of 2in1-RARE-EPI data.
Methods
In vivo study:The data used in this study originates from our in vivo study demonstrating the feasibility of simultaneous T
2 and T
2* mapping using 2in1-RARE-EPI
2. All MR data was acquired at 3.0T using a 32-channel head RF coil for signal reception (Siemens Magnetom SkyraFit, Erlangen, Germany). The in vivo feasibility study included four MS patients. Approval by the local ethical committee and informed written consent from each volunteer was obtained prior to the study. Imaging parameters used for MR data acquisition: FOV: 232x232, matrix size: 256x256, 2in1-RARE-EPI: TR = 2000ms, shots = 200, N
RARE = 14, N
EPI = 18, ESP
RARE = 6.5ms, ESP
EPI = 2.3ms, TA = 07:12 min; MSE: TR = 2000ms, ETL = 15, ESP = 8.9ms , TA = 08:36 min; MGRE: TR = 50ms , FA = 20°, ETL = 12 , ESP = 2.27ms, TA=0:50 min;
Retrospective undersampling and compressed sensing reconstruction: In 2in1-RARE-EPI the MR signal was first acquired with a RARE module (T
2) followed by the acquisition with an EPI module (T
2*) (Figure 1). For T
2 and T
2* mapping a linear least-square fit was applied to the images reconstructed from k-space data acquired at the same echo times (TEs). The number of 200 shots used for data acquisition corresponds to an undersampling factor R=2 for the individual TE images. The retrospectively undersampled data for each TE were obtained by removing every Nth of the overall 200 k-space spokes, with N=1-12 (denoted R
Retro in the following). For each TE, images were reconstructed from the retrospectively undersampled data using parallel imaging CS with total variation regularization (Berkeley Advanced Reconstruction Toolbox, BART)
3-7. Coil sensitivities were estimated using ESPIRiT (BART)
8,9 based on the first TE image of the RARE and EPI module. The regularization parameter was hand-tuned to 0.0004 and 0.0025 for the RARE and EPI module, respectively.
Assessment of the effect of acceleration on the T2 and T2* maps: To assess the impact of undersampling on T
2 and T
2* quantification further analysis was conducted for T
2 and T
2* values of eight ROIs (size: 7x7 px) covering lesions in four MS patients. Regression and Bland-Altman (BA) plot analysis was performed for each undersampling factor to benchmark T
2 and T
2* values derived from 2in1-RARE-EPI against the MSE and MGRE references. The mean absolute percentage error (MAPE) of T
2 and T
2* derived from undersampled 2in1-RARE-EPI was calculated relative to the MSE and MGRE references, and relative to 2in1-RARE-EPI with (R
Retro=1).
Results
Figure 2 shows T2 and T2* maps obtained with 2in1-RARE-EPI for RRetro=1-12. In the T2 maps increasing undersampling resulted in only minor blurring, and the three periventricular MS lesions were clearly delineated up to RRetro=12. In the T2* maps these lesions were clearly delineated only up to RRetro=6. The effects of undersampling are illustrated in the regression and BA plots in Figure 3. The T2 values derived from 2in1-RARE-EPI showed a modest bias relative to the reference MSE at high undersampling factors (RRetro=8-12); this becomes evident by the decreasing slopes of the regression lines and an increasing negative median difference of the T2 values in the BA plots. For T2* only a minor change of the median difference, but a more pronounced change of the limits-of-agreement (LOAs) was observed.
Figure 4 shows that the MAPE (relative to MSE and MGRE) of T2 and T2* does not change much up to RRetro=6. This is even more pronounced for the MAPE relative to 2in1-RARE-EPI with RRetro=1, while for RRetro>6 the MAPE changes are more pronounced with increasing RRetro.Discussion and Conclusion
Our results demonstrate that accelerated simultaneous T2 and T2* mapping using undersampled 2in1-RARE-EPI in conjunction with CS is very feasible using undersampling factors of 8 to 12. This gain in speed results in acquisition times of 2.2 min (R=8) or 1.6 min (R=12), corresponding to scan time reductions to 23% or 17% versus the serial T2 and T2* mapping using the MSE and MGRE references. This work provides the technical foundation to support the implementation of quantitative mapping in routine clinical practice, and for conducting broader clinical studies on the potential use of T2 and T2* as imaging biomarkers in MS. The range of applications for accelerated 2in1-RARE-EPI for T2 and T2* mapping extends beyond MS to several other pathologies in brain as well as other target organs. Furthermore, recognizing the spin-physics of 2in1-RARE-EPI, this undersampling strategy can also be adapted to support simultaneous T2, T2* and temperature mapping.Acknowledgements
This project has received funding in part (TN, JMM) from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program under grant agreement No 743077 (ThermalMR).
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