Published January 13, 2025 | Version 25.0.0rc0
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. Department of Psychology, Stanford University, CA, USA
  • 3. Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
  • 4. Department of Radiology, Lausanne University Hospital and University of Lausanne, Switzerland
  • 5. Psychology Department, University of Washington, Seattle, WA, USA

Contributors

  • 1. Quantivly Inc., Somerville, MA, USA
  • 2. The University of Washington eScience Institute, WA, USA
  • 3. Section on Clinical and Computational Psychiatry, National Institute of Mental Health, Bethesda, MD, USA
  • 4. Functional MRI Facility, National Institute of Mental Health, Bethesda, MD, USA
  • 5. Department of Psychology, Stanford University, CA, USA
  • 6. NeuroSpin, CEA, Université Paris-Saclay, NeuroSpin, Gif-sur-Yvette, France
  • 7. University of Florida: Gainesville, Florida, US
  • 8. CRC ULiege, Liege, Belgium
  • 9. Quansight, Dublin, Ireland
  • 10. Brigham and Women's Hospital, Mass General Brigham, Harvard Medical School, MA, USA
  • 11. Johns Hopkins Bloomberg School of Public Health, MD, USA
  • 12. Department of Neuroscience, University of Pennsylvania, PA, USA
  • 13. Psychological and Brain Sciences Department, Dartmouth College, NH, USA
  • 14. McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, USA
  • 15. Department of Psychology, University of Texas at Austin, TX, USA
  • 16. University of Michigan, Ann Arbor, USA
  • 17. Department of Psychology, Florida International University, FL, USA
  • 18. Max Planck Institute for Human Development, Berlin, Germany
  • 19. Center for Brain Imaging, New York University, NY, USA
  • 20. Oxford Big Data Institute, University of Oxford, Oxford, GB
  • 21. Department of Physics, Imperial College London, London, UK
  • 22. Department of Radiology, Lausanne University Hospital and University of Lausanne, Switzerland
  • 23. Charité Berlin, Berlin, Germany
  • 24. McGovern Institute for Brain Research, MIT, MA, USA; and Department of Otolaryngology, Harvard Medical School, MA, USA
  • 25. Center for Innovation in Brain Science, University of Arizona, Tucson, AZ, USA
  • 26. Computational Neuroimaging Lab, BioCruces Health Research Institute
  • 27. Washington University School of Medicine, St.Louis, MO, USA
  • 28. International Committee of the Red Cross - ICRC, Geneva, Switzerland
  • 29. National Institutes of Health, USA
  • 30. Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
  • 31. 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-25.0.0rc0.zip

Files (46.1 MB)

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Additional details

Related works

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

Software

Repository URL
https://github.com/nipreps/mriqc