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When more is less: Higher magnetic fields and their limited impact on signal-to-noise ratio per unit of acquisition time in unlocalized and single-voxel magnetic resonance spectroscopy

Guodong Weng1,2,3,* and Johannes Slotboom1,2,†

  • 1Institute for Diagnostic and Interventional Neuroradiology, Inselspital, University Hospital and University of Bern, Bern, Switzerland
  • 2Translational Imaging Center, sitem-insel, Bern, Switzerland
  • 3Department of Radiology & Biomedical Imaging, Yale University, New Haven, Connecticut, USA

  • *Contact author: guodong.weng@unibe.ch
  • †Contact author: johannes.slotboom@insel.ch

Phys. Rev. Applied 24, 054066 – Published 21 November, 2025

DOI: https://doi.org/10.1103/j138-v9gr

Abstract

Magnetic resonance spectroscopy (MRS) offers significant diagnostic potential but is inherently constrained by a low signal-to-noise ratio (SNR). While increasing the main magnetic field strength B0 is theoretically linked to increased SNR, practically obtained gains in SNR from B07/4 to B0, depending on the domination of thermal noise at high B0, are not always realized. Especially in clinical settings, the maximum reachable SNR is further constrained by the total available acquisition time (TA) and the regulatory limits on maximum tolerable specific absorption rate (SAR). This work attempts to derive mathematical expressions that enable systematic analysis of the theoretically achievable SNR gain. One important notion in this context is the SNR gain per unit of measurement time as a function of the main magnetic field B0 strengths in the case of unlocalized X-nuclei and localized (1H and X-nuclei) single-voxel spectroscopy (SVS) pulse sequences. Our findings indicate that, under given fixed total amount of (patient acceptable) measurement time TA and maximum tolerable SAR limitation, together with conditions that ensure the adiabaticity of specific sequences, there exists an optimal magnetic field strength B0 that maximizes SNR per unit of measurement time (SNRt). Beyond this optimal B0, further increases in field strength do not yield proportional improvements in SNRt. Key factors are identified, including rf-pulse bandwidth scaling with B0 and longitudinal relaxation time (T1) dependencies, that impact the net gain as well. Our theoretical analysis emphasizes critical considerations for optimizing SNR per unit time in clinical MRS, even challenging the presumption that higher magnetic fields B0 always yield improved SNR per unit of measurement time performance.

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References (44)

  1. W. A. Edelstein, G. H. Glover, C. J. Hardy, and R. W. Redington, The intrinsic signal-to-noise ratio in NMR imaging, Magn. Reson. Med. 3, 604 (1986).
  2. J. A. Helpern, The promise of high-field-strength MR imaging., AJNR Am. J. Neuroradiol. 24, 1738 (2003).
  3. I. Tkáč, G. Öz, G. Adriany, K. Uğurbil, and R. Gruetter, In vivo 1H NMR spectroscopy of the human brain at high magnetic fields: Metabolite quantification at 4T vs. 7T, Magn. Reson. Med. 62, 868 (2009).
  4. R. Pohmann, O. Speck, and K. Scheffler, Signal-to-noise ratio and MR tissue parameters in human brain imaging at 3, 7, and 9.4 tesla using current receive coil arrays, Magn. Reson. Med. 75, 801 (2016).
  5. J. T. Vaughan, M. Garwood, C. M. Collins, W. Liu, L. DelaBarre, G. Adriany, P. Andersen, H. Merkle, R. Goebel, M.B. Smith, and K. Uğurbil, 7T vs. 4T: RF power, homogeneity, and signal-to-noise comparison in head images, Magn. Reson. Med. 46, 24 (2001).
  6. M. E. Ladd, P. Bachert, M. Meyerspeer, E. Moser, A. M. Nagel, D. G. Norris, S. Schmitter, O. Speck, S. Straub, and M. Zaiss, Pros and cons of ultra-high-field MRI/MRS for human application, Prog. Nucl. Magn. Reson. Spectrosc. 109, 1 (2018).
  7. G. H. Glover, T.-Q. Li, and D. Ress, Image-based method for retrospective correction of physiological motion effects in fMRI: RETROICOR, Magn. Reson. Med. 44, 162 (2000).
  8. J. Slotboom, A. F. Mehlkopf, and W. M. M. J. Bovée, A single-shot localization pulse sequence suited for coils with inhomogeneous RF fields using adiabatic slice-selective RF pulses, J. Magn. Reson. (1969) 95, 396 (1991).
  9. M. Garwood and L. DelaBarre, The return of the frequency sweep: Designing adiabatic pulses for contemporary NMR, J. Magn. Reson. 153, 155 (2001).
  10. P. A. Bottomley, Spatial localization in NMR spectroscopy in vivo, Ann. N. Y. Acad. Sci. 508, 333 (1987).
  11. G. Weng, P. Radojewski, S. Sheriff, C. Kiefer, P. Schucht, R. Wiest, A. A. Maudsley, and J. Slotboom, SLOW: A novel spectral editing method for whole-brain MRSI at ultra high magnetic field, Magn. Reson. Med. 88, 53 (2022).
  12. G. Öz, D. K. Deelchand, J. P. Wijnen, V. Mlynárik, L. Xin, R. Mekle, R. Noeske, T. W. J. Scheenen, and I. Tkáč, Advanced single voxel 1H magnetic resonance spectroscopy techniques in humans: Experts’ consensus recommendations, NMR Biomed. 34, e4236 (2021).
  13. J. Near, A. D. Harris, C. Juchem, R. Kreis, M. Marjańska, G. Öz, J. Slotboom, M. Wilson, and C. Gasparovic, Preprocessing, analysis and quantification in single-voxel magnetic resonance spectroscopy: experts’ consensus recommendations, NMR Biomed. 34, e4257 (2021).
  14. M. Wilson, et al., Methodological consensus on clinical proton MRS of the brain: Review and recommendations, Magn. Reson. Med. 82, 527 (2019).
  15. D. I. Hoult and P. C. Lauterbur, The sensitivity of the zeugmatographic experiment involving human samples, J. Magn. Reson. (1969) 34, 425 (1979).
  16. P. B. Barker, D. O. Hearshen, and M. D. Boska, Single-voxel proton MRS of the human brain at 1.5T and 3.0T, Magn. Reson. Med. 45, 765 (2001).
  17. K. Kantarci, G. Reynolds, R. C. Petersen, B. F. Boeve, D. S. Knopman, S. D. Edland, G. E. Smith, R. J. Ivnik, E. G. Tangalos, and C. R. Jack, Proton MR spectroscopy in mild cognitive impairment and Alzheimer disease: Comparison of 1.5 and 3T, AJNR Am. J. Neuroradiol. 24, 843 (2003).
  18. O. Gonen, S. Gruber, B. S. Y. Li, V. Mlynárik, and E. Moser, Multivoxel 3D proton spectroscopy in the brain at 1.5 versus 3.0T: Signal-to-noise ratio and resolution comparison, AJNR Am. J. Neuroradiol. 22, 1727 (2001).
  19. J. Kim, K.-H. Chang, D. G. Na, I. C. Song, S. J. Kim, B. J. Kwon, and M. H. Han, Comparison of 1.5 and 3 T 1H MR spectroscopy for human brain tumors, Korean J. Radiol. 7, 156 (2006).
  20. S. Younis, A. Hougaard, C. E. Christensen, M. B. Vestergaard, E. T. Petersen, V. O. Boer, O. B. Paulson, M. Ashina, A. Marsman, and H. B. W. Larsson, Feasibility of glutamate and GABA detection in pons and thalamus at 3 and 7 T by proton magnetic resonance spectroscopy, Front. Neurosci. 14, 559314 (2020).
  21. S. Pradhan, S. Bonekamp, J. S. Gillen, L. M. Rowland, S. A. Wijtenburg, R. A. E. Edden, and P. B. Barker, Comparison of single voxel brain MRS AT 3 and 7 T using 32-channel head coils, Magn. Reson. Imaging 33, 1013 (2015).
  22. M. C. Stephenson, Applications of multi-nuclear magnetic resonance spectroscopy at 7T, World J. Radiol. 3, 105 (2011).
  23. M. Sarracanie and N. Salameh, Low-field MRI: How low can we go? A fresh view on an old debate, Front. Phys. 8, 172 (2020).
  24. T. C. Arnold, C. W. Freeman, B. Litt, and J. M. Stein, Low-field MRI: Clinical promise and challenges, J. Magn. Reson. Imaging 57, 25 (2023).
  25. R. Otazo, B. Mueller, K. Uğurbil, L. Wald, and S. Posse, Signal-to-noise ratio and spectral linewidth improvements between 1.5 and 7 Tesla in proton echo-planar spectroscopic imaging, Magn. Reson. Med. 56, 1200 (2006).
  26. R. Pohmann, M. Von Kienlin, and A. Haase, Theoretical evaluation and comparison of fast chemical shift imaging methods, J. Magn. Reson. 129, 145 (1997).
  27. T. M. Fiedler, M. E. Ladd, and A. K. Bitz, SAR simulations & safety, Neuroimage 168, 33 (2018).
  28. B. Guérin, M. Gebhardt, S. Cauley, E. Adalsteinsson, and L. L. Wald, Local specific absorption rate (SAR), global SAR, transmitter power, and excitation accuracy trade-offs in low flip-angle parallel transmit pulse design, Magn. Reson. Med. 71, 1446 (2014).
  29. J. B. Johnson, Thermal agitation of electricity in conductors, Phys. Rev. 32, 97 (1928).
  30. H. Nyquist, Thermal agitation of electric charge in conductors, Phys. Rev. 32, 110 (1928).
  31. R. Pohmann, N. I. Avdievich, and K. Scheffler, Signal-to-noise ratio versus field strength for small surface coils, NMR Biomed. 37, e5168 (2024).
  32. R. A. de Graaf, P. B. Brown, S. McIntyre, T. W. Nixon, K. L. Behar, and D. L. Rothman, High magnetic field water and metabolite proton T1 and T2 relaxation in rat brain in vivo, Magn. Reson. Med. 56, 386 (2006).
  33. D. K. Deelchand, I. Iltis, and P.-G. Henry, Improved quantification precision of human brain short echo-time 1H magnetic resonance spectroscopy at high magnetic field: A simulation study, Magn. Reson. Med. 72, 20 (2014).
  34. IEC 60601-2-33, 4.0 (International Electrotechnical Commission, Geneva, 2022).
  35. A. D. Elster, MRIquestions.Com, (unpublished).
  36. J. Baum, R. Tycko, and A. Pines, Broadband and adiabatic inversion of a two-level system by phase-modulated pulses, Phys. Rev. A (Coll Park) 32, 3435 (1985).
  37. S. Conolly, G. Glover, D. Nishimura, and A. Macovski, A reduced power selective adiabatic spin-echo pulse sequence, Magn. Reson. Med. 18, 28 (1991).
  38. P. Balchandani, J. Pauly, and D. Spielman, Designing adiabatic radio frequency pulses using the Shinnar-Le Roux algorithm., Magn. Reson. Med. 64, 843 (2010).
  39. Y. Li, D. Xu, E. Ozturk-Isik, J. M. Lupo, A. P. Chen, D. B. Vigneron and S. J. Nelson, T1 and T2 metabolite relaxation times in normal brain at 3T and 7T, J. Mol. Imaging Dyn. 002 (2012).
  40. W. D. Rooney, G. Johnson, X. Li, E. R. Cohen, S. Kim, K. Uğurbil, and C. S. Springer, Magnetic field and tissue dependencies of human brain longitudinal 1H2O relaxation in vivo, Magn. Reson. Med. 57, 308 (2007).
  41. W. Bogner, M. Chmelik, A. I. Schmid, E. Moser, S. Trattnig, and S. Gruber, Assessment of 31P relaxation times in the human calf muscle: A comparison between 3 and 7 T in vivo, Magn. Reson. Med. 62, 574 (2009).
  42. D. Hong, S. Rohani Rankouhi, J.-W. Thielen, J. J. A. van Asten, and D. G. Norris, A comparison of sLASER and MEGA-sLASER using simultaneous interleaved acquisition for measuring GABA in the human brain at 7T, PLoS One 14, e0223702 (2019).
  43. W. Bogner, R. Otazo, and A. Henning, Accelerated MR spectroscopic imaging—a review of current and emerging techniques, NMR Biomed. 34, e4314 (2021).
  44. G. Weng and J. Slotboom, Supporting Dataset for: When more is less: Higher magnetic fields and their limited impact on signal-to-noise ratio per unit of acquisition time in unlocalized and single-voxel magnetic resonance spectroscopy, https://doi.org/10.5281/zenodo.17245778 (2025).

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