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Abstract #1093

The Open Source Initiative for Perfusion Imaging (OSIPI): Contrast-based perfusion lexicon and reporting recommendations

Ina Nora Kompan1, Ben Dickie2, Steven Sourbron3, Petra van Houdt4, Laura Bell5, Rianne van der Heijden6, Andrey Fedorov7, Jonathan Arvidsson8, Charlotte Debus9, David Clunie10, Ingomar Gutmann11, Chad Quarles5, Zaki Ahmed12, Ralf Floca1, and David Buckley13
1Medical Image Computing, German Cancer Research Center, Heidelberg, Germany, 2Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom, 3Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom, 4Department of Radiation Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands, 5Barrow Neurological Institute, Phoenix, AZ, United States, 6Department of Radiology, Erasmus MC, Rotterdam, Netherlands, 7Brigham and Women’s Hospital, Boston, MA, United States, 8Department of Radiation Physics, University of Gothenburg, Gothenburg, Sweden, 9Steinbuch Centre for Computing, Karlsruhe Institute for Technology, Karlsruhe, Germany, 10PixelMed Publishing, LLC, Bangor, PA, United States, 11University of Vienna, Vienna, Austria, 12Mayo Clinic, Rochester, MN, United States, 13University of Leeds, Leeds, United Kingdom

As part of the Open Source Initiative for Perfusion Imaging (OSIPI), the aim of this work is to develop guidelines for reporting of contrast-based perfusion analysis in order to improve reproducibility, reusability and interoperability of perfusion analysis. For this, a perfusion analysis lexicon is developed, which provides standardized nomenclature for perfusion parameters and analysis processes, as well as a framework for reporting of analysis pipelines. The lexicon is intended to be a dynamically growing inventory updated by the perfusion community. For that, a variety of public feedback and review cycles are planned during the development process.

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