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A noise-robust post-processing pipeline for accelerated phase-cycled 23Na Multi-Quantum Coherences MRI.
Christian Licht1, Efe Ilicak2, Fernando E Boada3
1Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Radiological Sciences Laboratory, School of Medicine, Stanford University, Stanford, California, USA.
This study introduces a new pipeline for sodium (23Na) Multi-Quantum Coherences (MQC) MRI, enhancing image quality and reducing scan times. The method improves signal-to-noise ratio and robustly separates signals for better brain imaging at 7 Tesla.
Area of Science:
- Medical Imaging
- Biophysics
- Neuroimaging
Background:
- Sodium (23Na) Multi-Quantum Coherences (MQC) MRI is valuable for in vivo human brain imaging at 7 Tesla.
- Current MQC MRI techniques face challenges with low signal-to-noise ratio (SNR) and lengthy radiofrequency (RF) phase-cycling.
- Accurate separation of Single Quantum (SQ) and Triple Quantum (TQ) signals is essential for calculating the TQ/SQ ratio, a key diagnostic parameter.
Purpose of the Study:
- To develop an advanced post-processing pipeline for noise-robust, accelerated 23Na MQC MRI of the in vivo human brain at 7 T.
- To enhance SNR and improve the separation of SQ and TQ signal components in 23Na MQC MRI.
- To reduce acquisition time while maintaining high image quality.
Main Methods:
- Combined low-rank k-space denoising for SNR enhancement with Dynamic Mode Decomposition (DMD) for robust SQ and TQ signal separation.
- Validated the pipeline in silico, in vitro, and in vivo, comparing it against conventional denoising and Fourier Transform (FT) methods.
- Assessed pipeline robustness using ablation experiments simulating corrupted RF phase-cycling steps.
Main Results:
- The denoising algorithm doubled SNR compared to non-denoised images and improved SNR by up to 29% over Wavelet denoising.
- DMD effectively separated SQ and TQ signals, even with incomplete RF phase-cycling, achieving superior SSIM (0.89±0.024) and lower RMSE (0.055±0.008) compared to FT methods.
- Enabled high-quality 8x8x15mm3 in vivo 23Na MQC MRI with acquisition time reduced from 48 to 10 minutes.
Conclusions:
- The proposed pipeline significantly enhances robustness in 23Na MQC MRI through low-rank denoising and DMD-based signal separation.
- Achieved high-quality MR images for both SQ and TQ components, even under accelerated and incomplete RF phase-cycling conditions.
- This method offers a more efficient and reliable approach for advanced 23Na MQC MRI of the human brain.
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