Differences in diffusion-weighted MRS processing and fitting pipelines, and their effect on tissue modeling: Results from a workshop challenge.
Chloé Najac1, André Döring2, William Clarke3, Guglielmo Genovese4, Nathalie Just5, Roland Kreis6,7, Henrik Lundell5, Jessie Mosso8,9,10, Eloïse Mougel11, Georg Oeltzschner12,13, Marco Palombo2,14, and Clémence Ligneul3
1C.J. Gorter Center for High-Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom, 3Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 4Center for Magnetic Resonance Research and Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 5Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark, 6Magnetic Resonance Methodology, Institute for Diagnostic and Interventional Neuroradiology, University Bern, Bern, Switzerland, 7Translational Imaging Center, sitem-insel, Bern, Switzerland, 8CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 9Animal Imaging and Technology, EPFL, Lausanne, Switzerland, 10LIFMET, EPFL, Lausanne, Switzerland, 11Commissariat à l’Energie Atomique et aux Energies Alternatives (CEA), Centre National de la Recherche Scientifique (CNRS), Molecular Imaging Research Center (MIRCen), Laboratoire des Maladies Neurodégénératives, Université Paris-Saclay, Fontenay-aux-Roses, France, 12Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 13F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 14School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom
A processing and fitting challenge was initiated for the “Best practices & Tools for Diffusion MR Spectroscopy” workshop held at the Lorentz Center (Leiden, NL) in September 2021. Our goal was to assess variabilities in processing and fitting pipelines and possibly identify the most robust steps to analyze diffusion-weighted MRS data. A “brain-like” dataset of diffusion-weighted spectra was simulated and participants were asked to analyze the data with their routinely used pipelines. Results showed that variabilities between participants (n=8) particularly increased at higher b-values and for J-coupled metabolites (Ins, Glu) as a result of lower SNR and higher CRLB values.
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