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Abstract #0803

Open Science Initiative for Perfusion Imaging (OSIPI): DCE/DSC lexicon for reporting perfusion analysis pipelines

Ben R Dickie1, Steven Sourbron2, Petra J van Houdt3, Laura Bell4, Rianne A van der Heijden5, Andrey Fedorov6, Jonathan Arvidsson7, Charlotte Debus8, Ingomar Gutmann9, Chad Quarles10, Ralf Floca11, Zaki ahmed12, David Buckley13, and Ina Kompan11
1Division of Informatics, Imaging and Data Sciences, The University of Manchester, Manchester, United Kingdom, 2University of Sheffield, Sheffield, United Kingdom, 3the Netherlands Cancer Institute, Amsterdam, Netherlands, 4Genentech, Inc, San Francisco, CA, United States, 5Erasmus MC University Medical Center, Rotterdam, Netherlands, 6Harvard Medical School, Boston, MA, United States, 7University of Gothenburg, Gothenburg, Sweden, 8Karlsruhe Institute for Technology, Karlsruhe, Germany, 9University of Vienna, Vienna, Austria, 10Barrow Neurological Institute, Phoenix, AZ, United States, 11German Cancer Research Center DKFZ, Heidelberg, Germany, 12Mayo Clinic, Rochester, MN, United States, 13The University of Leeds, Leeds, United Kingdom


The Open Science Initiative for Perfusion Imaging (OSIPI) aims to improve the reproducibility of perfusion MRI research through creation of acquisition and analysis standards. Specifically, Task Force 4.2 was established to develop a lexicon of variables and processes to facilitate standardised reporting of dynamic contrast-enhanced (DCE-) and dynamic susceptibility contrast (DSC-) MRI analysis pipelines. Here we report progress towards these objectives by presenting the current DCE/DSC lexicon structure, and provide a use-case to encode a simple analysis pipeline.

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