Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI.

Autor: Maffei C; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, 149 13th Street, Charlestown, MA 02129, United States. Electronic address: cmaffei@mgh.harvard.edu., Girard G; University Hospital Center (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland; CIBM Center for Biomedical Imaging, Lausanne, Switzerland; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne (EPFL), Switzerland., Schilling KG; Vanderbilt Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States., Aydogan DB; A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland., Adluru N; University of Wisconsin, Madison, WI, United States., Zhylka A; Biomedical Engineering, Eindhoven University of Technology, Netherlands., Wu Y; Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina, Chapel Hill, United States., Mancini M; Cardiff University Brain Research Imaging Center (CUBRIC), Cardiff University, Cardiff, United Kingdom; NeuroPoly, Polytechnique Montreal, Montreal, Canada., Hamamci A; Department of Biomedical Engineering, Faculty of Engineering, Yeditepe University, Istanbul, Turkey., Sarica A; Neuroscience Research Center, University 'Magna Graecia', Catanzaro, Italy., Teillac A; Institute of Cognitive Neuroscience Marc Jeannerod, CNRS / UMR 5229, Bron 69500, France; Université Claude Bernard, Lyon 1, Villeurbanne 69100, France., Baete SH; Center for Advanced Imaging Innovation and Research (CAI2R), NYU School of Medicine, New York, NY, United States; Department of Radiology, Center for Biomedical Imaging, NYU School of Medicine, New York, NY, United States., Karimi D; Department of Radiology, Computational Radiology Laboratory, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States., Yeh FC; Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, United States., Yildiz ME; Department of Biomedical Engineering, Faculty of Engineering, Yeditepe University, Istanbul, Turkey., Gholipour A; Department of Radiology, Computational Radiology Laboratory, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States., Bihan-Poudec Y; Institute of Cognitive Neuroscience Marc Jeannerod, CNRS / UMR 5229, Bron 69500, France; Université Claude Bernard, Lyon 1, Villeurbanne 69100, France., Hiba B; Institute of Cognitive Neuroscience Marc Jeannerod, CNRS / UMR 5229, Bron 69500, France; Université Claude Bernard, Lyon 1, Villeurbanne 69100, France., Quattrone A; Institute of Neurology, University 'Magna Graecia', Catanzaro, Italy., Quattrone A; Neuroscience Research Center, University 'Magna Graecia', Catanzaro, Italy., Boshkovski T; NeuroPoly, Polytechnique Montreal, Montreal, Canada., Stikov N; NeuroPoly, Polytechnique Montreal, Montreal, Canada., Yap PT; Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina, Chapel Hill, United States., de Luca A; Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands; Neurology Department, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands., Pluim J; Biomedical Engineering, Eindhoven University of Technology, Netherlands., Leemans A; Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands., Prabhakaran V; University of Wisconsin, Madison, WI, United States., Bendlin BB; University of Wisconsin, Madison, WI, United States., Alexander AL; University of Wisconsin, Madison, WI, United States., Landman BA; Vanderbilt Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States; Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States., Canales-Rodríguez EJ; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne (EPFL), Switzerland., Barakovic M; Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Neurologic Clinic and Polyclinic, Basel, Switzerland., Rafael-Patino J; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne (EPFL), Switzerland., Yu T; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne (EPFL), Switzerland., Rensonnet G; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne (EPFL), Switzerland., Schiavi S; CIBM Center for Biomedical Imaging, Lausanne, Switzerland; University of Verona, Verona, Italy., Daducci A; University of Verona, Verona, Italy., Pizzolato M; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne (EPFL), Switzerland., Fischi-Gomez E; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne (EPFL), Switzerland., Thiran JP; University Hospital Center (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland; CIBM Center for Biomedical Imaging, Lausanne, Switzerland; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne (EPFL), Switzerland., Dai G; Wellesley College, Wellesley, MA, United States., Grisot G; DeepHealth, Inc., Cambridge, MA, United States., Lazovski N; QMENTA, Inc., Barcelona, Spain., Puch S; QMENTA, Inc., Barcelona, Spain., Ramos M; QMENTA, Inc., Barcelona, Spain., Rodrigues P; QMENTA, Inc., Barcelona, Spain., Prčkovska V; QMENTA, Inc., Barcelona, Spain., Jones R; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, 149 13th Street, Charlestown, MA 02129, United States., Lehman J; Department of Pharmacology and Physiology, University of Rochester School of Medicine, Rochester, NY, United States., Haber SN; Department of Pharmacology and Physiology, University of Rochester School of Medicine, Rochester, NY, United States., Yendiki A; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, 149 13th Street, Charlestown, MA 02129, United States.
Jazyk: angličtina
Zdroj: NeuroImage [Neuroimage] 2022 Aug 15; Vol. 257, pp. 119327. Date of Electronic Publication: 2022 May 26.
DOI: 10.1016/j.neuroimage.2022.119327
Abstrakt: Limitations in the accuracy of brain pathways reconstructed by diffusion MRI (dMRI) tractography have received considerable attention. While the technical advances spearheaded by the Human Connectome Project (HCP) led to significant improvements in dMRI data quality, it remains unclear how these data should be analyzed to maximize tractography accuracy. Over a period of two years, we have engaged the dMRI community in the IronTract Challenge, which aims to answer this question by leveraging a unique dataset. Macaque brains that have received both tracer injections and ex vivo dMRI at high spatial and angular resolution allow a comprehensive, quantitative assessment of tractography accuracy on state-of-the-art dMRI acquisition schemes. We find that, when analysis methods are carefully optimized, the HCP scheme can achieve similar accuracy as a more time-consuming, Cartesian-grid scheme. Importantly, we show that simple pre- and post-processing strategies can improve the accuracy and robustness of many tractography methods. Finally, we find that fiber configurations that go beyond crossing (e.g., fanning, branching) are the most challenging for tractography. The IronTract Challenge remains open and we hope that it can serve as a valuable validation tool for both users and developers of dMRI analysis methods.
Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2022. Published by Elsevier Inc.)
Databáze: MEDLINE
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