Multidimensional compressed sensing to advance 23Na multi-quantum coherences MRI
Purpose Sodium (23Na) multi-quantum coherences (MQC) MRI was accelerated using three-dimensional (3D) and a dedicated five-dimensional (5D) compressed sensing (CS) framework for simultaneous Cartesian single (SQ) and triple quantum (TQ) sodium imaging of in vivo human brain at 3.0 and 7.0 T. Theory...
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| Main Authors: | , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
March 2024
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| In: |
Magnetic resonance in medicine
Year: 2024, Volume: 91, Issue: 3, Pages: 926-941 |
| ISSN: | 1522-2594 |
| DOI: | 10.1002/mrm.29902 |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.1002/mrm.29902 Verlag, kostenfrei, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/mrm.29902 
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| Author Notes: | Christian Licht, Simon Reichert, Maxime Guye, Lothar R. Schad, Stanislas Rapacchi |
| Summary: | Purpose Sodium (23Na) multi-quantum coherences (MQC) MRI was accelerated using three-dimensional (3D) and a dedicated five-dimensional (5D) compressed sensing (CS) framework for simultaneous Cartesian single (SQ) and triple quantum (TQ) sodium imaging of in vivo human brain at 3.0 and 7.0 T. Theory and Methods 3D 23Na MQC MRI requires multi-echo paired with phase-cycling and exhibits thus a multidimensional space. A joint reconstruction framework to exploit the sparsity in all imaging dimensions by extending the conventional 3D CS framework to 5D was developed. 3D MQC images of simulated brain, phantom and healthy brain volunteers obtained from 3.0 T and 7.0 T were retrospectively and prospectively undersampled. Performance of the CS models were analyzed by means of structural similarity index (SSIM), root mean squared error (RMSE), signal-to-noise ratio (SNR) and signal quantification of tissue sodium concentration and TQ/SQ ratio. Results It was shown that an acceleration of three-fold, leading to less than 2×10\ 2\times 10 \ min of scan time with a resolution of 8×8×20 mm3\ 8\times 8\times 20\;\mathrmmm^3 \ at 3.0 T, are possible. 5D CS improved SSIM by 3%, 5%, 1% and reduced RMSE by 50%, 30%, 8% for in vivo SQ, TQ, and TQ/SQ ratio maps, respectively. Furthermore, for the first time prospective undersampling enabled unprecedented high resolution from 8×8×20 mm3\ 8\times 8\times 20\;\mathrmmm^3 \ to 6×6×10 mm3\ 6\times 6\times 10\;\mathrmmm^3 \ MQC images of in vivo human brain at 7.0 T without extending acquisition time. Conclusion 5D CS proved to allow up to three-fold acceleration retrospectively on 3.0 T data. 2-fold acceleration was demonstrated prospectively at 7.0 T to reach higher spatial resolution of 23Na MQC MRI. |
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| Item Description: | Online veröffentlicht: 26. Oktober 2023 Die Zahl 23 ist im Titel hochgestellt Gesehen am 07.03.2024 |
| Physical Description: | Online Resource |
| ISSN: | 1522-2594 |
| DOI: | 10.1002/mrm.29902 |