Second-order motion-compensated spin echo diffusion tensor imaging of the in vivo human heart – considerations on gradient performance requirements
Christian T Stoeck1,2, Constantin von Deuster1,2, and Sebastian Kozerke1,2

1King's College London, London, United Kingdom, 2University and ETH Zurich, Zurich, Switzerland

Synopsis

In vivo cardiac DTI using spin-echoes has been demonstrated on MR systems equipped with powerful gradients. In this study we investigate the dependency of helix and transverse angle error on maximum gradient amplitude for second order motion compensated diffusion encoding of the in-vivo heart. Root-mean-square errors for helix and transverse angles were 15.0±3.7°, 11.0±1.8°, 10.3±2.4°, and 11.7±3.8°, 9.0±2.0°, 8.1±2.2° for gradient strengths of 30mT/m, 40mT/m and 60mT/m when compared to data obtained at 74.5 mT/m gradient strength. From the data it is concluded that second order motion compensated diffusion encoding allows for in vivo cardiac DTI even on MR systems with standard gradient amplitudes of 40 mT/m.

Introduction

In vivo cardiac DTI (cDTI) using Stimulated Echo Acquisition Mode (STEAM) imaging has gained significant attention1-3. To address the sensitivity to motion and the limited signal-to-noise ratio of cDTI using STEAM, spin-echo based approaches have been pursued4-6. Recently, second-order motion compensated diffusion gradient waveforms have been proposed for spin-echo cDTI7-9 and the increase in SNR efficiency relative to STEAM has been demonstrated10. In addition, the single-shot method facilitates imaging during free-breathing enhancing applicability in a clinical setting. So far, however, second-order motion-compensated spin echo cDTI has only been demonstrated on MR scanners with high performance gradient systems. It is the objective of the present work to investigate minimum gradient performance requirements for second-order motion-compensated spin echo cDTI using in-vivo data.

Methods

Second-order motion-compensated spin echo cDTI (Figure1) was implemented on a 1.5T Philips Achieva system (Philips Healthcare, Best, The Netherlands) equipped with a 5-channel cardiac receiver array and a gradient system delivering up to 80mT/m @ 100mT/m/ms. Data was acquired with ECG triggering and during navigator gated (7 mm gating window) free breathing. The maximum gradient strength (Gmax) per physical axis was limited to 30mT/m, 40mT/m, 60mT/m and 74.5mT/m, the latter being the maximum applicable gradient strength due to peripheral nerve stimulation limits. Diffusion encoding was performed in three orthogonal directions at a b-value of 100s/mm2 to suppress perfusion effects11 and along nine directions at b=450 s/mm2 optimized to allow for an effective Gmax of 42.4mT/m, 56.6mT/m, 84.9mT/m and 105.4mT/m by utilizing the three physical gradient axes simultaneously. Corresponding TEs were 96ms, 85ms, 73ms and 66ms. Imaging parameters were: resolution 2.6×2.6mm2, slice thickness 7mm, reduced FOV12 230×104mm2, signal averages 12, TR=3 R-R. Three short-axis slices at basal, mid-ventricular and apical level were acquired at a trigger delay of 50% end systole. In vivo data were acquired in six healthy volunteers (1 male, age 24±2, weight 59±5kg, heart rate 70±10beats/min, max/min 55/90beats/min). Written informed consent according to institutional guidelines was obtained prior to imaging. The myocardium was manually segmented according to the AHA model with three transmural layers13 and helix and transverse angles were calculated14. Segment-wise comparison was performed by correlation and Bland-Altman analysis. Correlation coefficients, mean signed differences, mean absolute differences and root-mean-squared-errors (RMSE) are reported. Mean diffusivity (MD), fractional anisotropy (FA), transmural helix angle slope and range as well as mean and standard deviation of the transverse angle were computed. To model the effect of reduced SNR due to prolonged TE a subset of signal averages from data acquired with 74.5mT/m was analyzed.

Results

Figure 2 shows helix angle maps acquired with different Gmax as well as a segment-wise comparison in one volunteer. The corresponding transverse angle analysis is shown in Figure 3. Imaging at 30mT/m failed in two volunteers resulting in non-circumferential alignment of the diffusion tensors’ principal eigenvector (up to RMSE of 20.5° for helix and transverse angulation). The segment-wise comparison for different Gmax at apex, mid and base across all volunteers is presented in Figure 4. Across all slices a correlation coefficient (R2) of 0.89±0.06, 0.87±0.04 and 0.77±0.11 for 60mT/m, 40mT/m and 30mT/m was found relative to data acquired at Gmax=74.5mT/m. The corresponding RMSEs were 10.3±2.4°, 11.0±1.8°, 15.0±3.7° for helix angles and 8.1±2.2°, 9.0±2.0°, 11.7±3.8° for transverse angles. The (bias) signed mean difference was -3.0±2.0°, -1.9±2.9°, -4.6±4.0° for helix angles and 0.5±2.3°, -0.5±2.8°, -1.2±3.4° for transverse angles across all slices. The RMSE was lowest at mid ventricular level. The SNR analysis resulted in an RMSE of 3.9±2.8°/4.9±2.8°/7.0±4.6° and 2.6±1.4°/3.6±1.7°/4.9±2.0° for helix and transverse angles for Gmax 30mT/m, 40mT/m, 60mT/m. The slice wise analysis of transmural helix angle variation, transverse angulation, MD and FA is shown in Table 1.

Discussion

In this work, two confounding factors relating to the maximum available gradient amplitude for spin-echo cDTI were studied. SNR simulations showed that for helix angle estimation 43% of the RMSE and for transverse angle estimation 39% of the RMSE are attributed to the lower SNR with increased TE. This indicates that residual motion, registration and segmentation induced errors are present. To further minimize the impact of cardiac motion during long encoding times the trigger delay may be optimized for individual subjects15. Furthermore, spatial resolution may be increased reducing intra voxel dephasing at the cost of SNR. In general, Gmax of 30mT/m appeared to be insufficient for robust spin-echo cardiac DTI.

Conclusion

Second-order motion compensated diffusion gradients allow for spin-echo cardiac DTI during free breathing on clinical MR systems with standard gradient performance of 40 mT/m.

Acknowledgements

This work is supported by UK EPSRC (EP/I018700/1).

References

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Figures

Figure 1: Second-order motion compensated SE sequence with spectral spatial excitation for fat suppression during non-coplanar excitation (LL). Echo pulse duration is shortened using VERSE.

Figure 2: Helix angle maps for different gradient strengths at mid ventricular level. The middle row shows the corresponding segment wise correlation with data acquired at 74.5mT/m and the bottom row the corresponding Bland Altman analysis.

Figure 3: Transverse angle maps for different gradient strengths at mid ventricular level. The bottom row shows the corresponding Bland Altman comparison with data acquired at 74.5mT/m.

Figure 4: Segment wise comparison of helix and transverse angle for an apical, mid-ventricular and basal slice position. The error bars indicate one standard deviation across volunteers. The effect of SNR (longest TE at 30mT/m) is represented in purple.

Table 1: Slice wise analysis of transmural helix angle variation (slope) and range, mean and one standard deviation of transverse angles, MD and FA are shown as mean±one standard deviation across slices and volunteers. Statistical significance for the comparison with 74.5mT/m is indicated by † and the corresponding SNR matched analysis by *.



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