Abstract #0047
The Open Science Initiative for Perfusion Imaging (OSIPI): Early Results from the DCE-MRI Challenge
Eve Shalom1, Harrison Kim2, Rianne A. van der Heijden3, Zaki Ahmed4, Reyna Patel5, David A. Hormuth6, Julie C. DiCarlo7, Nicholas J. Sisco8, Richard D. Dortch8, Ashley M. Stokes8, Marianna Inglese9,10, Matthew Grech-Sollars11,12, Nicola Toschi13,14, Prativa Sahoo15, Anup Singh16, Sanjay K. Verma17, Divya K. Rathore18, Ali Nabavizadeh19, Hamidreza Saligheh Rad20,21, Leland S. Hu22, Laura C. Bell23, Steven Sourbron24, and Anahita Fathi Kazerooni25
1School of Physics and Astronomy, University of Leeds, Leeds, United Kingdom, 2The University of Alabama at Birmingham, Birmingham, AL, United States, 3Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, Netherlands, 4Mayo Clinic, Rochester, MN, United States, 5Department of Radiology, Neuroradiology Division, Mayo Clinic, Scottsdale, AZ, United States, 6Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, United States, 7University of Texas at Austin, Austin, TX, United States, 8Neurological Imaging, Barrow Neurological Innovation Center, Phoenix, AZ, United States, 9Department of Surgery and Cancer, Imperial College London, London, United Kingdom, 10Department of Biomedicine and Prevention, University of Rome “Tor Vergata”, Roma, Italy, 11Department of Surgery & Cancer, Imperial College London, London, United Kingdom, 12Department of Medical Physics, Royal Surrey NHS Foundation Trust, Guildford, United Kingdom, 13Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy, 14Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Boston, MA, United States, 15University Medicine Göttingen, Göttingen, Germany, 16Indian Institute of Technology Delhi, New Delhi, India, 17Singapore Bioimaging Consortium (SBIC), Singapore, Singapore, 18GPU.IO, Pune, India, 19Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 20Quantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 21Centre for Computational Imaging & Simulation Technologies in Biomedicine, School of Computing / School of Medicine, University of Leeds, Leeds, United Kingdom, 22Neuroradiology Division, Department of Radiology, Mayo Clinic, Phoenix, AZ, United States, 23Genentech, Inc., South San Francisco, CA, United States, 24Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom, 25Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
Synopsis
While there is growing evidence that DCE-MRI may provide insights about the response of patients to therapies, there is a lack of standardized software quantification tools, resulting in variability in reported Ktrans values across different studies and limiting its utility in clinical applications. We have designed and launched the Open Science Initiative for Perfusion Imaging (OSIPI)-DCE challenge to provide recommended and benchmarked analysis tools for Ktrans estimation in the brain, by evaluating and comparing DCE software tools in terms of accuracy, repeatability, and reproducibility. Here, we report on the preliminary results of this challenge.
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