Figure 1.

General framework of the ASL-MRICloud platform. The user interacts with a web server computer to upload their image data and submit the job. The web server computer in turn transfers the data to on-site computers inside Johns Hopkins University (JHU) for computing and processing (green solid arrow). When necessary, supercomputing resources outside the JHU will be used (orange dash arrow), in which the uploaded image data are placed in a queue via FTP and transferred to a supercomputing resource via a monitoring server. Once the processing is completed, the results are available to the user for download through the web server.