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Implementation of the academic image processing pipeline ExploreASL in an outpatient center using IntelliSpace Discovery
Sandeep Ganji1, Nandor Pinter2, Jan Petr33, Bela Ajtai2, Joseph V Fritz2, Laszlo Mechtler2, Shahrukh Husain2, Alexander Fischer4, Frederik Barkhof5,6, and Henriā€Œ Mutsaerts5,7
1Philips, Gainesville, FL, United States, 2Dent Neurologic Institute, Amherst, NY, United States, 3Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany, 4Philips Research, Aachen, Germany, 5Dept of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam, Netherlands, 6Institute of Biomedical Engineering and Neurology, University College London, London, United Kingdom, 7Ghent Institute for Functional and Metabolic Imaging, Ghent, Belgium
We demonstrate the deployment of ExploreASL, an academic ASL processing pipeline, on the IntelliSpace Discovery platform for clinical validation in a large outpatient clinic. Such infrastructure would allow for an easy implementation of novel pipelines in many medical research scenarios.
Overview of Philips IntelliSpace Discovery System
The User Interface of the plugin on the ISD server, after implementation of the ExploreASL processing pipeline. On the left interface, allows users to input ASL source, T1w, and FLAIR images. On the bottom right you see the quantified CBF maps output from ExploreASL incorporated into the patient database of ISD.