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

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/3808
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Zhangren Tu, D. CHEN, Xiaodie Chen, Lin Ou-yang et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Neural Networks and Applications
article

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

Zhangren Tu, D. CHEN, Xiaodie Chen, Lin Ou-yang, Jiayu Li, Tao Gong, Di Guo, Yirong Zhou, Xiaobo Qu
article en

Abstract

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.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 81%
Neural Networks and Applications
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CloudBrain-MRS: An Artificial Intelligence Cloud Computing Platform for MRS Processing — Zhangren Tu, D. CHEN, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024) | TGRS Research Map | TGRS