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Published June 13, 2023 | Version 23.1.0
Software Open

MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites

Authors/Creators

  • 1. Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
  • 2. Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
  • 3. Department of Psychology, Stanford University, CA, USA
  • 4. Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
  • 5. Psychology Department, University of Washington, Seattle, WA, USA

Contributors

  • 1. Section on Clinical and Computational Psychiatry, National Institute of Mental Health, Bethesda, MD, USA
  • 2. Functional MRI Facility, National Institute of Mental Health, Bethesda, MD, USA
  • 3. Department of Psychology, Stanford University, CA, USA
  • 4. University of Florida: Gainesville, Florida, US
  • 5. CRC ULiege, Liege, Belgium
  • 6. Quansight, Dublin, Ireland
  • 7. Department of Neuroscience, University of Pennsylvania, PA, USA
  • 8. Department of Psychology, University of Texas at Austin, TX, USA
  • 9. Psychological and Brain Sciences Department, Dartmouth College, NH, USA
  • 10. University of Michigan, Ann Arbor, USA
  • 11. Department of Psychology, Florida International University, FL, USA
  • 12. Max Planck Institute for Human Development, Berlin, Germany
  • 13. Center for Brain Imaging, New York University, NY, USA
  • 14. Oxford Big Data Institute, University of Oxford, Oxford, GB
  • 15. Department of Physics, Imperial College London, London, UK
  • 16. Department of Radiology, Lausanne University Hospital and University of Lausanne, Switzerland
  • 17. Charité Berlin, Berlin, Germany
  • 18. McGovern Institute for Brain Research, MIT, MA, USA; and Department of Otolaryngology, Harvard Medical School, MA, USA
  • 19. The University of Washington eScience Institute, WA, USA
  • 20. Computational Neuroimaging Lab, BioCruces Health Research Institute
  • 21. Washington University School of Medicine, St.Louis, MO, USA
  • 22. National Institutes of Health, USA
  • 23. Johns Hopkins Bloomberg School of Public Health, MD, USA
  • 24. Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
  • 25. Data Science and Sharing Team, National Institute of Mental Health, Bethesda, MD, USA

Description

Automated Quality Control and visual reports for Quality Assessment of structural (T1w, T2w) and functional MRI of the brain http://mriqc.readthedocs.io.

Files

nipreps/mriqc-23.1.0.zip

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Additional details

Related works

Documents
http://mriqc.readthedocs.io (URL)
Is part of
10.1371/journal.pone.0184661 (DOI)