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Diffusion tensor brain imaging at 0.55T: A feasibility study
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DOI：10.1002/mrm.30156.png)
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PurposeTo investigate the feasibility of diffusion tensor brain imaging at 0.55T with comparisons against 3T.MethodsDiffusion tensor imaging data with 2 mm isotropic resolution was acquired on a cohort of five healthy subjects using both 0.55T and 3T scanners. The signal-to-noise ratio (SNR) of the 0.55T data was improved using a previous SNR-enhancing joint reconstruction method that jointly reconstructs the entire set of diffusion weighted images from k-space using shared-edge constraints. Quantitative diffusion tensor parameters were estimated and compared across field strengths. We also performed a test-retest assessment of repeatability at each field strength.ResultsAfter applying SNR-enhancing joint reconstruction, the diffusion tensor parameters obtained from 0.55T data were strongly correlated (R2 >= 0.70$$ {R}<^>2\ge 0.70 $$) with those obtained from 3T data. Test-retest analysis showed that SNR-enhancing reconstruction improved the repeatability of the 0.55T diffusion tensor parameters.ConclusionHigh-resolution in vivo diffusion MRI of the human brain is feasible at 0.55T when appropriate noise-mitigation strategies are applied.
Keyword:
constrained reconstruction
denoising
diffusion MRI
low-field MRI
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1.2W
被引数:
3.1W
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