Abstract #2877

ASL in the MriCloud: a platform-independent, installation-free tool for arterial-spin-labeling analysis

Peiying Liu¹, Yue Li², Angelica Herrera³, Andreia Vasconcellos Faria¹, Can Ceritoglu⁴, Michael Miller⁴, Susumu Mori⁵, and Hanzhang Lu¹

¹Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, ²AnatomyWorks, LLC, Baltimore, MD, United States, ³Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States, ⁴Center for Imaging Science, Johns Hopkins University, Baltimore, MD, United States, ⁵Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States

There has been a surging interest in using arterial spin labeling (ASL) MRI to measure cerebral perfusion. Current downloadable ASL analysis toolboxes are still primitive compared those for fMRI and DTI, and involves issues of software compatibility and computational burden. Here we describe a cloud-computing-based tool for comprehensive analysis of ASL-MRI. With this tool, the user can obtain CBF maps and ROI-averaged CBF values without having to install any software on the local computer. The maintenance of software upgrades will be performed by the developer. This tool may prove valuable and timely in accommodating the recent surging interest in ASL-MRI.

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