Diffusion-weighted MR spectroscopy: Consensus, recommendations, and resources from acquisition to modeling

Clémence Ligneul¹, Chloé Najac², André Döring^{3

4}, Christian Beaulieu⁵, Francesca Branzoli⁶, William T Clarke¹, Cristina Cudalbu^{4

7}, Guglielmo Genovese⁸, Saad Jbabdi¹, Ileana Jelescu^{9

10}, Dimitrios Karampinos¹¹, Roland Kreis^{12

13}, Henrik Lundell^{14

15}, Małgorzata Marjańska⁸, Harald E Möller¹⁶, Jessie Mosso^{4

7

17}, Eloïse Mougel¹⁸, Stefan Posse^{19

20}, Stefan Ruschke¹¹, Kadir Simsek^{3

21}, Filip Szczepankiewicz²², Assaf Tal²³, Chantal Tax^{24

25}, Georg Oeltzschner^{26

27}, Marco Palombo^{3

21}, Itamar Ronen²⁸, Julien Valette¹⁸

Affiliations

¹ Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
² C.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
³ Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
⁴ CIBM Center for Biomedical Imaging, Lausanne, Switzerland.
⁵ Departments of Biomedical Engineering and Radiology, University of Alberta, Alberta, Edmonton, Canada.
⁶ Paris Brain Institute-ICM, Sorbonne University, UMR S 1127, Inserm U 1127, CNRS UMR 7225, Paris, France.
⁷ Animal Imaging and Technology, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
⁸ Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minnesota, Minneapolis, USA.
⁹ Department of Radiology, Lausanne University Hospital, Lausanne, Switzerland.
¹⁰ Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.
¹¹ Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany.
¹² MR Methodology, Department for Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland.
¹³ Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland.
¹⁴ Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital-Amager anf Hvidovre, Hvidovre, Denmark.
¹⁵ Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.
¹⁶ NMR Methods & Development Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
¹⁷ LIFMET, EPFL, Lausanne, Switzerland.
¹⁸ Université Paris-Saclay, CEA, CNRS, MIRCen, Laboratoires des Maladies Neurodégénératives, Fontenay-aux-Roses, France.
¹⁹ Department of Neurology, University of New Mexico School of Medicine, New Mexico, Albuquerque, USA.
²⁰ Department of Physics and Astronomy, University of New Mexico School of Medicine, New Mexico, Albuquerque, USA.
²¹ School of Computer Science and Informatics, Cardiff University, Cardiff, UK.
²² Medical Radiation Physics, Clinical Sciences Lund, Lund University, Lund, Sweden.
²³ Department of Chemical and Biological Physics, The Weizmann Institute of Science, Rehovot, Israel.
²⁴ University Medical Center Utrecht, Utrecht, The Netherlands.
²⁵ Cardiff University Brain Research Imaging Centre (CUBRIC), School of Physics and Astronomy, Cardiff University, Cardiff, United Kingdom.
²⁶ Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Maryland, Baltimore, USA.
²⁷ F. M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Maryland, Baltimore, USA.
²⁸ Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, Brighton, UK.

PMID: 37946584
DOI: 10.1002/mrm.29877

Free article

Diffusion-weighted MR spectroscopy: Consensus, recommendations, and resources from acquisition to modeling

Clémence Ligneul et al. Magn Reson Med. 2024 Mar.

Free article

. 2024 Mar;91(3):860-885.

doi: 10.1002/mrm.29877. Epub 2023 Nov 9.

Authors

Affiliations

¹ Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
² C.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
³ Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
⁴ CIBM Center for Biomedical Imaging, Lausanne, Switzerland.
⁵ Departments of Biomedical Engineering and Radiology, University of Alberta, Alberta, Edmonton, Canada.
⁶ Paris Brain Institute-ICM, Sorbonne University, UMR S 1127, Inserm U 1127, CNRS UMR 7225, Paris, France.
⁷ Animal Imaging and Technology, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
⁸ Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minnesota, Minneapolis, USA.
⁹ Department of Radiology, Lausanne University Hospital, Lausanne, Switzerland.
¹⁰ Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.
¹¹ Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany.
¹² MR Methodology, Department for Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland.
¹³ Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland.
¹⁴ Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital-Amager anf Hvidovre, Hvidovre, Denmark.
¹⁵ Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.
¹⁶ NMR Methods & Development Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
¹⁷ LIFMET, EPFL, Lausanne, Switzerland.
¹⁸ Université Paris-Saclay, CEA, CNRS, MIRCen, Laboratoires des Maladies Neurodégénératives, Fontenay-aux-Roses, France.
¹⁹ Department of Neurology, University of New Mexico School of Medicine, New Mexico, Albuquerque, USA.
²⁰ Department of Physics and Astronomy, University of New Mexico School of Medicine, New Mexico, Albuquerque, USA.
²¹ School of Computer Science and Informatics, Cardiff University, Cardiff, UK.
²² Medical Radiation Physics, Clinical Sciences Lund, Lund University, Lund, Sweden.
²³ Department of Chemical and Biological Physics, The Weizmann Institute of Science, Rehovot, Israel.
²⁴ University Medical Center Utrecht, Utrecht, The Netherlands.
²⁵ Cardiff University Brain Research Imaging Centre (CUBRIC), School of Physics and Astronomy, Cardiff University, Cardiff, United Kingdom.
²⁶ Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Maryland, Baltimore, USA.
²⁷ F. M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Maryland, Baltimore, USA.
²⁸ Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, Brighton, UK.

PMID: 37946584
DOI: 10.1002/mrm.29877

Abstract

Brain cell structure and function reflect neurodevelopment, plasticity, and aging; and changes can help flag pathological processes such as neurodegeneration and neuroinflammation. Accurate and quantitative methods to noninvasively disentangle cellular structural features are needed and are a substantial focus of brain research. Diffusion-weighted MRS (dMRS) gives access to diffusion properties of endogenous intracellular brain metabolites that are preferentially located inside specific brain cell populations. Despite its great potential, dMRS remains a challenging technique on all levels: from the data acquisition to the analysis, quantification, modeling, and interpretation of results. These challenges were the motivation behind the organization of the Lorentz Center workshop on "Best Practices & Tools for Diffusion MR Spectroscopy" held in Leiden, the Netherlands, in September 2021. During the workshop, the dMRS community established a set of recommendations to execute robust dMRS studies. This paper provides a description of the steps needed for acquiring, processing, fitting, and modeling dMRS data, and provides links to useful resources.

Keywords: acquisition; dMRS; fitting; modelling; processing.

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References

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Diffusion-weighted MR spectroscopy: Consensus, recommendations, and resources from acquisition to modeling

Affiliations

Diffusion-weighted MR spectroscopy: Consensus, recommendations, and resources from acquisition to modeling

Authors

Affiliations

Abstract

References

REFERENCES

MeSH terms

Grants and funding

LinkOut - more resources

Full Text Sources