Myelin Water Fraction with Bipolar Multiecho sequences using k-space shift correction
Hongpyo Lee1, Yoonho Nam2, Min-Oh Kim1, Dongyeob Han1, and Dong-Hyun Kim1

1School of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea, Republic of, 2Department of Radiology, Seoul St. Mary Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea, Republic of

Synopsis

Recently, myelin water fraction was investigated using multi-echo GRE data. Generally, to ensure phase consistency among the echoes, multi-echo acquisitions use unipolar gradients. However, these unipolar gradient multi-echo sequences reduce acquisition efficiency and increase echo spacing. Bipolar gradients would be preferential however, k-space misregistration induced by readout gradient delays and eddy-currents make phase errors, so severe artifacts occur in myelin water imaging. In this abstract, we present a MWI using bipolar gradient multi-echo GRE sequence with k-space shift correction. Compared to unipolar MWF, k-space shift corrected bipolar MWF yields a reduction in ΔTE, which leads to improved SNR and more accurate quantification.

Introduction

Recently, myelin water fraction (MWF) was investigated using multi-echo GRE data1,2. Generally, to ensure phase consistency among the echoes, multi-echo acquisitions use unipolar gradients. However, these unipolar gradient multi-echo sequences reduce acquisition efficiency and increase echo spacing. To overcome this, bipolar gradient can be used to improve the acquisition efficiency and reduce echo spacing. However, in bipolar gradient system, k-space misregistration induced by readout gradient delays and eddy-currents can induce phase errors3. Thus, myelin water imaging using bipolar gradients has not been proposed due to its severe artifacts. In this work, we present a MWF using bipolar gradient multi-echo GRE sequence with a k-space shift correction3.

Methods

[k-space shift correction] Gradient delays and eddy currents result in delays of echo acquisition. These make k-space misregistration and lead to phase discrepancy between odd echoes and even echoes. To compensate for the k-space misregistration, all echoes (even and odd echoes) are used to estimate the k-space shift distance. The detailed procedure is as follows: 1. Signals from each echo is 1D Fourier transformed. 2. Calculate cross-correlation between the odd and even echoes 3. K-space shift is estimated from the slope of the cross-correlation signal’s phase using linear regression. 4. The shift distance is obtained from the estimated phase slope by shift = slope*base-resolution/(2*pi). The shift distance is calculated for each channel, and then averaged.

[Data acquisition and processing] A healthy volunteer was scanned using both unipolar and bipolar sequences at 3T (Tim Trio, Siemens Medical Solutions, Erlangen, Germany) with a 4 channel head coil. For MWI, multi-echo 3D GRE sequence was used. The imaging parameters were as follows: matrix size: 128x128x32, spatial resolution 2x2x3mm3, TR = 84ms, TE1 = 1.65 ms, ΔTE = 1.04 ms for bipolar gradient and 2.08 ms for unipolar gradient, # of echoes = 30 for bipolar gradient and 16 for unipolar gradient, flip angle = 30°, BW = 1560 Hz/Px. The total scan time was 5 min 44 sec. After k-space shift correction, a three-pool complex model which includes frequency offset terms (Δf) was fitted to each voxel to estimate MWF2.

Results

Fig.1 shows the result of the k-space shift correction. Fig.1 (top) plots the magnitude of the first two k-space echo data projected along the readout axis. The k-space misalignment introduces a linear phase discrepancy between even echoes and odd echoes as shown in Fig.1 (bottom). After correction, this discrepancy is corrected. Also, Fig.2 shows the phase at a chosen voxel (yellow arrow) with respect to echo time in bipolar gradient sequence. The phase was proportional to the echo time after correction. Fig.3 shows the MWF with 30 bipolar echoes fitted with and without correction of the k-space shift. Without the k-space shift correction, the fitting failed to obtain correct MWF and Δfmy-ex map. Fig.4 shows the result of MWF with unipolar and bipolar gradient GRE data. When the bipolar multi-echo GRE is used, quantification and SNR is improved.

Discussion and Conclusion

In this study, we demonstrated that MWF with bipolar gradient can be performed by correcting k-space shift. The improved scan efficiency of the bipolar sequence may translate into a reduction in the scanning time. Compared to unipolar MWF, bipolar MWF yields a reduction in ΔTE, which leads to improved SNR and more accurate quantification.

Acknowledgements

No acknowledgement found.

References

1. Sati P, et al. Micrto-compartment specific T2* relaxation in the brain. Neuroimage, 2013;77:268-278

2. Nam Y, et al. Improved Estimation of Myelin Water Fraction using Complex Model Fitting. Neuroimage, 2015;116:214-221

3. Wenmiao L, et al. Water-Fat separation with Bipolar Multiecho Sequences. Magn Reson Med. 2008;60:198-209

Figures

Figure 1. (top) Magnitude of three k-space data along readout axis. (bottom) Magnitude and phase images before correction and after correction

Figure 2. Magnitude/Phase at a represented voxel (yellow arrow) with respect to echo time before corrections (red) and after correction (blue)

Figure 3. Myelin Water Fraction (top) and the estimated △fmy-ex map (bottom) fitted without and with correction

Figure 4. Myelin Water Fraction (top) and the estimated △fmy-ex map (bottom) comparison between unipoar (16 echo) and bipolar (30 echo) gradient sequence



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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