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Diffusion tensor brain imaging at 0.55T: A feasibility study

delete2024-05-09
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OA
AI
H
H. Kung *
S
Sophia Cui
J
Jonas Kaplan
A
Anand A. Joshi
R
Richard M. Leahy
K
Krishna S. Nayak
J
Justin P. Haldar
DOI:10.1002/mrm.30156delete
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Abstract

Abstract

En 中文
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.
Keywords:
constrained reconstruction
denoising
diffusion MRI
low-field MRI

Journal

Magnetic Resonance in Medicine cover
Magnetic Resonance in Medicine
IF:
3
Papers:
1.2W
Citations:
3.1W

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siemens usa
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university of southern california
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siemens ag
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