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RayPlus: a Web-Based Platform for Medical Image Processing

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Abstract

Medical image can provide valuable information for preclinical research, clinical diagnosis, and treatment. As the widespread use of digital medical imaging, many researchers are currently developing medical image processing algorithms and systems in order to accommodate a better result to clinical community, including accurate clinical parameters or processed images from the original images. In this paper, we propose a web-based platform to present and process medical images. By using Internet and novel database technologies, authorized users can easily access to medical images and facilitate their workflows of processing with server-side powerful computing performance without any installation. We implement a series of algorithms of image processing and visualization in the initial version of Rayplus. Integration of our system allows much flexibility and convenience for both research and clinical communities.

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Acknowledgements

We wish to express our gratitude to Dr. Daoyu Hu, Dr. Zhen Li, and Dr. Yaqi Shen from the Department of Radiology, Tongji Hospital, Wuhan, China, for all the inspiring discussions. This work was supported by the National Natural Science Foundation of China (Grant No. 61540041) and Ministry of Science and Technology of the People’s Republic of China (Grant No. 2013YQ030923).

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Authors and Affiliations

  1. College of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luoyu Rd, Wuhan, Hubei, 430074, China

    Rong Yuan, Ming Luo, Zhi Sun, Shuyue Shi, Peng Xiao & Qingguo Xie

  2. Wuhan National Laboratory for Optoelectronics, Wuhan, Hubei, China

    Peng Xiao & Qingguo Xie

Authors
  1. Rong Yuan
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  2. Ming Luo
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  3. Zhi Sun
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  4. Shuyue Shi
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  5. Peng Xiao
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  6. Qingguo Xie
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Correspondence to Qingguo Xie.

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Yuan, R., Luo, M., Sun, Z. et al. RayPlus: a Web-Based Platform for Medical Image Processing. J Digit Imaging 30, 197–203 (2017). https://doi.org/10.1007/s10278-016-9920-y

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  • DOI: https://doi.org/10.1007/s10278-016-9920-y

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