Journal of Digital Imaging

, Volume 32, Issue 2, pp 269–275 | Cite as

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

  • Rong Yuan
  • Shuyue Shi
  • Junhui Chen
  • Guanxun ChengEmail author


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.


Medical image Texture analysis Radiomics Software design Web technology 



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 information

Dr. Rong Yuan acknowledges financial support from SZSM201612071.


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Copyright information

© Society for Imaging Informatics in Medicine 2018

Authors and Affiliations

  • Rong Yuan
    • 1
  • Shuyue Shi
    • 2
  • Junhui Chen
    • 1
  • Guanxun Cheng
    • 3
    Email author
  1. 1.Department of Minimally Invasive Intervention, Peking University Shenzhen HospitalShenzhen PKU-HKUST Medical CenterShenzhenChina
  2. 2.Ruijia Technology, Inc.WuhanChina
  3. 3.Department of Radiology, Peking University Shenzhen HospitalShenzhen PKU-HKUST Medical CenterShenzhenChina

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