Nuclear spin relaxation DOI
Michael C. D. Tayler

Royal Society of Chemistry eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 53 - 81

Published: Nov. 15, 2024

This chapter explores current theoretical and experimental trends in nuclear spin relaxation, providing a digest of around 100 research papers published between 2022 mid 2023. As is customary, this deliberately excludes the latest literature to capture insights that have developed after publication. Throughout, emphasis placed on few topics: (1) relaxation systems exhibit enhanced polarization, through techniques like dynamic polarization parahydrogen-induced revolutionized signal-to-noise ratios NMR MRI; (2) liquids at low ultralow magnetic fields, where interest drawn towards new mechanisms applications biomolecular systems; (3) long-lived states, methodology complementary usual T1 T2 approaches, which always seems be applied molecules with increasing complexity relevance biochemistry. Conventional study areas are also reviewed, grouped by phase matter (solid, liquid, gas, mixtures) technique (theory/modeling, experiment: solvent-relaxation, co-solute relaxation-dispersion mapping, fast-field cycling).

Language: Английский

Robust EMI elimination for RF shielding‐free MRI through deep learning direct MR signal prediction DOI Creative Commons
Yujiao Zhao, Linfang Xiao, Jiahao Hu

et al.

Magnetic Resonance in Medicine, Journal Year: 2024, Volume and Issue: 92(1), P. 112 - 127

Published: Feb. 20, 2024

Abstract Purpose To develop a new electromagnetic interference (EMI) elimination strategy for RF shielding‐free MRI via active EMI sensing and deep learning direct MR signal prediction (Deep‐DSP). Methods Deep‐DSP is proposed to directly predict EMI‐free signals. During scanning, receive coil coils simultaneously sample data within two windows (i.e., characterization acquisition, respectively). Afterward, residual U‐Net model trained using synthetic acquired during window, signals from by coils. The then used the signal‐acquisition window. This was evaluated on an ultralow‐field 0.055T brain scanner without any shielding 1.5T whole‐body with incomplete shielding. Results accurately predicted in presence of strong EMI. It outperformed recently developed EDITER convolutional neural network methods, yielding better enabling use few Furthermore, it could work well dedicated data. Conclusion presents effective that outperforms existing advancing toward truly portable patient‐friendly MRI. exploits coupling between as typical characteristics. Despite its nature, framework computationally simple efficient.

Language: Английский

Citations

11
Exploring the potential performance of 0.2 T low-field unshielded MRI scanner using deep learning techniques DOI
Lei Li,

Qingyuan He,

Shufeng Wei

et al.

Magnetic Resonance Materials in Physics Biology and Medicine, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 18, 2025

Language: Английский

Citations

0
Fast, high-quality, and unshielded 0.2 T low-field mobile MRI using minimal hardware resources DOI
Lei Li,

Qingyuan He,

Shufeng Wei

et al.

Magnetic Resonance Materials in Physics Biology and Medicine, Journal Year: 2024, Volume and Issue: 37(6), P. 1091 - 1104

Published: July 5, 2024

Language: Английский

Citations

2
Nuclear spin relaxation DOI
Michael C. D. Tayler

Royal Society of Chemistry eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 53 - 81

Published: Nov. 15, 2024

This chapter explores current theoretical and experimental trends in nuclear spin relaxation, providing a digest of around 100 research papers published between 2022 mid 2023. As is customary, this deliberately excludes the latest literature to capture insights that have developed after publication. Throughout, emphasis placed on few topics: (1) relaxation systems exhibit enhanced polarization, through techniques like dynamic polarization parahydrogen-induced revolutionized signal-to-noise ratios NMR MRI; (2) liquids at low ultralow magnetic fields, where interest drawn towards new mechanisms applications biomolecular systems; (3) long-lived states, methodology complementary usual T1 T2 approaches, which always seems be applied molecules with increasing complexity relevance biochemistry. Conventional study areas are also reviewed, grouped by phase matter (solid, liquid, gas, mixtures) technique (theory/modeling, experiment: solvent-relaxation, co-solute relaxation-dispersion mapping, fast-field cycling).

Language: Английский

Citations

0