A noise-robust post-processing pipeline for accelerated phase-cycled 23Na Multi-Quantum Coherences MRI
Saved in:
| Title: | A noise-robust post-processing pipeline for accelerated phase-cycled 23Na Multi-Quantum Coherences MRI |
|---|---|
| Authors: | Licht, Christian, Ilicak, Efe, Boada, Fernando, Guye, Maxime, Zöllner, Frank, Schad, Lothar, Rapacchi, Stanislas |
| Contributors: | Kober, Frank |
| Source: | Z Med Phys Zeitschrift fur medizinische Physik, vol. 35, no. 1, pp. 98-108 |
| Publisher Information: | Elsevier BV, 2025. |
| Publication Year: | 2025 |
| Subject Terms: | Original Paper, Single and triple quantum imaging, Sodium, Brain, Neuroimaging, Signal-To-Noise Ratio, Magnetic Resonance Imaging, Sodium multi-quantum coherences, Low-rank, Dynamic mode decomposition, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Sodium MRI, Image Processing, Computer-Assisted, Humans, Magnetic Resonance Imaging/methods, Brain/diagnostic imaging, Algorithms, Image Processing, Computer-Assisted/methods, Sodium Isotopes |
| Description: | To develop an improved post-processing pipeline for noise-robust accelerated phase-cycled Cartesian Single (SQ) and Triple Quantum (TQ) sodium (23Na) Magnetic Resonance Imaging (MRI) of in vivo human brain at 7 T.Our pipeline aims to tackle the challenges of 23Na Multi-Quantum Coherences (MQC) MRI including low Signal-to-Noise Ratio (SNR) and time-consuming Radiofrequency (RF) phase-cycling. Our method combines low-rank k-space denoising for SNR enhancement with Dynamic Mode Decomposition (DMD) to robustly separate SQ and TQ signal components. This separation is crucial for computing the TQ/SQ ratio, a key parameter of 23Na MQC MRI. We validated our pipeline in silico, in vitro and in vivo in healthy volunteers, comparing it with conventional denoising and Fourier transform (FT) methods. Additionally, we assessed its robustness through ablation experiments simulating a corrupted RF phase-cycle step.Our denoising algorithm doubled SNR compared to non-denoised images and enhanced SNR by up to 29% compared to Wavelet denoising. The low-rank approach produced high-quality images even at later echo times, allowing reduced signal averaging. DMD effectively separated the SQ and TQ signals, even with missing RF phase cycle steps, resulting in superior Structural Similarity (SSIM) of 0.89±0.024 and lower Root Mean Squared Error (RMSE) of 0.055±0.008 compared to conventional FT methods (SSIM=0.71±0.061, RMSE=0.144±0.036). This pipeline enabled high-quality 8x8x15mm3 in vivo 23Na MQC MRI, with a reduction in acquisition time from 48 to 10 min at 7 T.The proposed pipeline improves robustness in 23Na MQC MRI by exploiting low-rank properties to denoise signals and DMD to effectively separate SQ and TQ signals. This approach ensures high-quality MR images of both SQ and TQ components, even in accelerated and incomplete RF phase-cycling cases. |
| Document Type: | Article Other literature type |
| File Description: | application/pdf |
| Language: | English |
| ISSN: | 0939-3889 |
| DOI: | 10.1016/j.zemedi.2024.12.004 |
| Access URL: | https://pubmed.ncbi.nlm.nih.gov/39843306 https://serval.unil.ch/resource/serval:BIB_27DCDCBE9483.P001/REF.pdf http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_27DCDCBE94835 https://serval.unil.ch/notice/serval:BIB_27DCDCBE9483 https://amu.hal.science/hal-04998085v1/document https://doi.org/10.1016/j.zemedi.2024.12.004 https://amu.hal.science/hal-04998085v1 |
| Rights: | CC BY NC ND |
| Accession Number: | edsair.doi.dedup.....4097e54296ba3ada7b656f60bd47d0d4 |
| Database: | OpenAIRE |
Full Text 
Full Text Finder 
Nájsť tento článok vo Web of Science | Abstract: | To develop an improved post-processing pipeline for noise-robust accelerated phase-cycled Cartesian Single (SQ) and Triple Quantum (TQ) sodium (23Na) Magnetic Resonance Imaging (MRI) of in vivo human brain at 7 T.Our pipeline aims to tackle the challenges of 23Na Multi-Quantum Coherences (MQC) MRI including low Signal-to-Noise Ratio (SNR) and time-consuming Radiofrequency (RF) phase-cycling. Our method combines low-rank k-space denoising for SNR enhancement with Dynamic Mode Decomposition (DMD) to robustly separate SQ and TQ signal components. This separation is crucial for computing the TQ/SQ ratio, a key parameter of 23Na MQC MRI. We validated our pipeline in silico, in vitro and in vivo in healthy volunteers, comparing it with conventional denoising and Fourier transform (FT) methods. Additionally, we assessed its robustness through ablation experiments simulating a corrupted RF phase-cycle step.Our denoising algorithm doubled SNR compared to non-denoised images and enhanced SNR by up to 29% compared to Wavelet denoising. The low-rank approach produced high-quality images even at later echo times, allowing reduced signal averaging. DMD effectively separated the SQ and TQ signals, even with missing RF phase cycle steps, resulting in superior Structural Similarity (SSIM) of 0.89±0.024 and lower Root Mean Squared Error (RMSE) of 0.055±0.008 compared to conventional FT methods (SSIM=0.71±0.061, RMSE=0.144±0.036). This pipeline enabled high-quality 8x8x15mm3 in vivo 23Na MQC MRI, with a reduction in acquisition time from 48 to 10 min at 7 T.The proposed pipeline improves robustness in 23Na MQC MRI by exploiting low-rank properties to denoise signals and DMD to effectively separate SQ and TQ signals. This approach ensures high-quality MR images of both SQ and TQ components, even in accelerated and incomplete RF phase-cycling cases. |
|---|---|
| ISSN: | 09393889 |
| DOI: | 10.1016/j.zemedi.2024.12.004 |