Abstract #3808

CloudBrain-MRS: An Artificial Intelligence Cloud Computing Platform for MRS Processing

Zhangren Tu¹, Xiaodie Chen¹, Jiayu Li¹, Yirong Zhou¹, Dichen Chen¹, Tao Gong², Lin Ou-yang³, Di Guo⁴, and Xiaobo Qu¹

¹Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China, ²Departments of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China, ³Medical Imaging of Southeast Hospital, Medical College of Xiamen University, Zhangzhou, China, ⁴School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China

Synopsis

Keywords: AI/ML Software, Data Processing

Motivation: Magnetic resonance spectroscopy (MRS) is a powerful tool for disease diagnosis, but one of its limitations is the lack of user-friendly processing software or platforms.

Goal(s): Developing an integrated platform that is easy to use, provides powerful hardware, and incorporates advanced processing algorithms.

Approach: CloudBrain-MRS is a cloud-based online platform that has been developed. The platform can be accessed through a web browser without requiring any program installation on the user's side, and it integrates advanced artificial intelligence algorithms.

Results: The platform supports: 1): Automatic statistical analysis to find biomarkers for diseases;2) Consistency verification between classic and artificial intelligence quantification algorithms; 3)Visualize results.

Impact: This is the first user-friendly cloud computing platform for in vivo MRS with an artificial intelligence processing. The biomedical researchers can do clinical research effectively, and it greatly reduces the requirements for the technical skill of users.

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