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Radiomics in RayPlus: a Web-Based Tool for Texture Analysis in Medical Images

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Abstract

Radiomics has been shown to have considerable potential and value in quantifying the tumor phenotype and predicting the treatment response. In most scenarios, the commercial and open-source software programs are available for quantitative analysis in medical images to streamline radiomics research. However, at this stage, most of these programs are local applications and require users to have experience in programming and software engineering, which clinicians usually do not have. Therefore, in this article, a web-based tool was proposed to flexibly support radiomics research workflow tasks. Radiomics in RayPlus requires zero installation, is easy to maintain, and accessible anywhere via any PC or MAC with an Internet connection. The system provides functions including multimodality image import and viewing, ROI definition, feature extraction, and data sharing. As a web application, it appears an effective way to multi-institution and multi-department collaborative radiomics research and moreover, its transparency, flexibility, and portability can greatly accelerate the pace of clinical data analysis.

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Acknowledgments

We wish to express our gratitude to Dr. Ruiguang Zhang and Dr. Quan Chen from the Department of Radiology, Wuhan Union Hospital, Wuhan, China, for all the inspiring discussions. And thanks to Mrs. Feifei Liu for the user interface design.

Funding

Dr. Rong Yuan acknowledges financial support from SZSM201612071.

Author information

Authors and Affiliations

  1. Department of Minimally Invasive Intervention, Peking University Shenzhen Hospital, Shenzhen PKU-HKUST Medical Center, Shenzhen, China

    Rong Yuan & Junhui Chen

  2. Ruijia Technology, Inc., Wuhan, China

    Shuyue Shi

  3. Department of Radiology, Peking University Shenzhen Hospital, Shenzhen PKU-HKUST Medical Center, 1120 Lianhua Rd, Shenzhen, 518036, Guangdong, China

    Guanxun Cheng

Authors
  1. Rong Yuan
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  2. Shuyue Shi
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  3. Junhui Chen
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  4. Guanxun Cheng
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Correspondence to Guanxun Cheng.

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Yuan, R., Shi, S., Chen, J. et al. Radiomics in RayPlus: a Web-Based Tool for Texture Analysis in Medical Images. J Digit Imaging 32, 269–275 (2019). https://doi.org/10.1007/s10278-018-0128-1

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  • DOI: https://doi.org/10.1007/s10278-018-0128-1

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