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

Synopsis

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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