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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