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Phase stabilization with motion compensated diffusion weighted imaging
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DOI：10.1002/mrm.30218.png)
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Abstract
En 中文
Purpose: Diffusion encoding gradient waveforms can impart intra-voxel and inter-voxel dephasing owing to bulk motion, limiting achievable signal-to-noise and complicating multishot acquisitions. In this study, we characterize improvements in phase consistency via gradient moment nulling of diffusion encoding waveforms. Methods: Healthy volunteers received neuro (N = 10) and cardiac (N = 10) MRI. Three gradient moment nulling levels were evaluated: compensation for position (M-0), position + velocity (M-1), and position + velocity + acceleration (M-1 + M-2). Three experiments were completed: (Exp-1) Fixed Trigger Delay Neuro DWI; (Exp-2) Mixed Trigger Delay Neuro DWI; and (Exp-3) Fixed Trigger Delay Cardiac DWI. Significant differences (p < 0.05) of the temporal phase SD between repeated acquisitions and the spatial phase gradient across a given image were assessed. Results: M-0 moment nulling was a reference for all measures. In Exp-1, temporal phase SD for G(z) diffusion encoding was significantly reduced with M-1 (35% of t-tests) and M-1 + M-2 (68% of t-tests). The spatial phase gradient was reduced in 23% of t-tests for M-1 and 2% of cases for M-1 + M-2. In Exp-2, temporal phase SD significantly decreased with M-1 + M-2 gradient moment nulling only for G(z) (83% of t-tests), but spatial phase gradient significantly decreased with only M-1 (50% of t-tests). In Exp-3, M-1 + M-2 gradient moment nulling significantly reduced temporal phase SD and spatial phase gradients (100% of t-tests), resulting in less signal attenuation and more accurate ADCs. Conclusion: We characterized gradient moment nulling phase consistency for DWI. Using M-1 for neuroimaging and M-1 + M-2 for cardiac imaging minimized temporal phase SDs and spatial phase gradients.
Keywords:
brain
cardiac
diffusion-weighted imaging
motion-compensation
phase
Journal
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3
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Citations:
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