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Abstract #3498

BrainGPS: A Cloud-based Platform for Neuroimage Analysis and Neuroradiological Studies

Yue Li 1 , Can Ceritoglu 2 , Hangyi Jiang 3 , Anthony E. Kolasny 2 , Timothy J. A. Brown 2 , Xiaoying Tang 2 , Zifei Liang 3,4 , Andreia V. Faria 3 , Marc Vaillant 5 , Naveen Santhanam 5 , Xin Li 3 , Susumu Mori 3 , and Michael I. Miller 2

1 AnatomyWorks, LLC, Baltimore, Maryland, United States, 2 Center for Imaging Science, Johns Hopkins University, Baltimore, Maryland, United States, 3 Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States, 4 Department of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, China, 5 Animetrics, Inc, Conway, New Hampshire, United States

Brain geodesic positioning system (BrainGPS, https://braingps.mricloud.org) is a web-based platform for neuroimage research community. Using web services, users can submit data, monitor the processing job status, browse and download results online. It provides image analysis tools including a comprehensive, multi-atlas processing pipeline that segments MPRAGE data into 286 structures at five granularity levels, and a comprehensive DTI processing pipeline including quality control, tensor calculation and segmentation. Its visualization tool provides highly-interactive interface to examine the analysis result, both in 2D and 3D. The built-in database of control subjects for age 890 allows age-matched interpretation of each result.

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