Abstract #0396
Phantom Results of the ISMRM Joint RRSG–qMRSG Reproducibility Challenge on T1 mapping
Mathieu Boudreau1,2, Agah Karakuzu1, Julien Cohen-Adad1,3, Madeline Carr4,5, Mariya Doneva6, Seraina A. Dual7,8, Daniel B. Ennis9, Alex Ensworth10,11, Alexandru Foias1, Véronique Fortier10,12, Guillaume Gilbert13, Matthew Grech-Sollars14,15, Lois Holloway4,5, Siyuan Hu16, Oscar Jalnefjord17,18, Peter Koken6, Anastasia Kolokotronis10,19, Simran Kukran20, Nam Lee21, Ives R. Levesque10, Dan Ma16, Burkhard Maedler22, Nyasha Maforo23, Kévin Moulin9,24, Jamie Near25, Robba Rai4,5, Ben Statton26, Christian Stehning22, Chenyang Wang27, Kilian Weiss22, Niloufar Zakariaei28, Shuo Zhang22, and Nikola Stikov1,2
1NeuroPoly, Polytechnique Montreal, Montreal, QC, Canada, 2Montreal Heart Institute, Montreal, QC, Canada, 3Unité de Neuroimagerie Fonctionnelle (UNF), Centre de recherche de l’Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montreal, QC, Canada, 4Medical Physics, Ingham Institute for Applied Medical Research, Liverpool, Australia, 5Department of Medical Physics, Liverpool and Macarthur Cancer Therapy Centres, Liverpool, Australia, 6Philips Research, Hamburg, Germany, 7Stanford University, Stanford, CA, United States, 8Department of Biomedical Engineering and Health Systems, KTH Royal Institute of Technology, Stockholm, Sweden, 9Department of Radiology, Stanford University, Stanford, CA, United States, 10Medical Physics Unit, McGill University, Montreal, QC, Canada, 11University of British Columbia, Vancouver, BC, Canada, 12Medical Imaging, McGill University Health Centre, Montreal, QC, Canada, 13MR Clinical Science, Philips Canada, Mississauga, ON, Canada, 14Department of Computer Science, University College London, London, United Kingdom, 15Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, United Kingdom, 16Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 17Department of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden, 18Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden, 19Hôpital Maisonneuve-Rosemont, Montreal, QC, Canada, 20Department of Surgery & Cancer, Imperial College London, London, United Kingdom, 21Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States, 22Philips GmbH Market DACH, Hamburg, Germany, 23Philips Healthcare Germany, Hamburg, Germany, 24CREATIS Laboratory, Univ. Lyon, UJM-Saint-Etienne, INSA, CNRS UMR 5520, INSERM, Lyon, France, 25Centre d'Imagerie Cérébrale, Douglas Mental Health University Institute, Montreal, QC, Canada, 26MRC, London Institute of Medical Sciences, Imperial College London., London, United Kingdom, 27Department of Radiation Oncology - CNS Service, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 28Department of Radiation Oncology, Henry Ford Cancer Institute, Detroit, MI, United States
Synopsis
Keywords: Quantitative Imaging, Relaxometry, Reproducibility, challengeA collaborative reproducibility challenge was launched to explore if an imaging protocol independently-implemented at multiple centers can reliably measure T1 using inversion recovery in a standardized quantitative MRI phantom (ISMRM/NIST). A total of 19 submissions were accepted, totalling 41 phantom T1 mapping datasets. Errors relative to the temperature-corrected reference T1 values were under 10% for the range of values expected in the human brain in vivo. All submitted phantom data, code, pipelines, and scripts were shared on open platforms.
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