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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