Abstract #2713

The Open Source Initiative for Perfusion Imaging (OSIPI): ASL Pipeline inventory

Sudipto Dolui¹, Hongli Fan², Paula L. Croal^3,4, Charlotte Buchanan⁴, Lydiane Hirschler⁵, Udunna Anazodo⁶, David L. Thomas⁷, Henk J.M.M. Mutsaerts⁸, and Jan Petr⁹

¹Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, ²The Johns Hopkins School of Medicine, Baltimore, BC, United States, ³Radiological Sciences, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, United Kingdom, ⁴Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom, ⁵Leiden University Medical Center, Leiden, Netherlands, ⁶Western University, London, ON, Canada, ⁷UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, ⁸Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VU, Amsterdam, Netherlands, ⁹Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany

As a part of the Open Source Initiative for Perfusion Imaging (OSIPI), we have created an inventory of software for automated processing of Arterial Spin Labeling (ASL) perfusion MRI data. We contacted the ASL community through different channels, inviting software developers to list their pipelines by completing a questionnaire covering different aspects and features of a desired pipeline. We received inputs from 18 developers and have summarized the main characteristics of their pipelines based on the information they provided. We expect that this inventory will facilitate ASL-related research, reduce duplicate development, and enable translation of ASL to clinical practice.

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