Open-source quality assurance for multi-parametric MRI: a diffusion analysis update for the magnetic resonance biomarker assessment software (MR-BIAS)
MR-BIAS can automatically and accurately perform ADC analysis of diffusion phantoms, making the software suitable for the quality assurance of multi-centre studies of multi-parametric MRI.
Authors
- Rick Franich (ORCID: https://orcid.org/0000-0002-6874-7042)
- Petra J. van Houdt (ORCID: https://orcid.org/0000-0001-7431-8386)
- James Korte (ORCID: https://orcid.org/0000-0001-9152-1319)
- Madeline Carr (ORCID: https://orcid.org/0000-0002-4915-5076)
- Glenn Cahoon (ORCID: https://orcid.org/0000-0001-9046-9993)
- Lois Holloway (ORCID: https://orcid.org/0000-0003-4337-2165)
- Sharon L. Norris (ORCID: https://orcid.org/0000-0003-0170-6796)
- Ben Neijndorff
Institutions
- The University of Melbourne (AU)
- University of Wollongong (AU)
- Peter MacCallum Cancer Centre (AU)
- The Netherlands Cancer Institute (NL)
- Australian and New Zealand Intensive Care Society (AU)
- Monash Health (AU)
- Ingham Institute (AU)
- Olivia Newton-John Cancer Wellness & Research Centre (AU)
- RMIT University (AU)
Publication Details
- Journal
- Magnetic Resonance Materials in Physics Biology and Medicine
- Published
- 2025-04-26
- DOI
- https://doi.org/10.1007/s10334-025-01252-4
- Citations
- 1
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- University of Melbourne