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About

What is Radiuma?

Visualized & Standardized Environment for Radiomics Analysis

Desktop Software for Medical Imaging Research

  • Desktop software to improve usability, reusability, and reproducibility in medical imaging & healthcare research.
  • Development platform to create reproducible research workflows by connecting different tools.
  • Useful for collaborative research projects and for ensuring consistency across different studies.
  • User-friendly for different expertise levels, including radiation oncologists, radiologists, physicists & data scientists.
Standards

Standardization

IBSI 1.0

Radiomic Feature Extraction

Radiuma is a python-based open-source package that enables standardized and reproducible radiomic feature extraction in compliance with the Image Biomarker Standardization Initiative (IBSI 1.0).

IBSI 2.0

Image Filtering

Image filters have been standardized against IBSI 2.0 by implementing and validating several filter options, ensuring reproducibility across research institutions worldwide.

Python

Open Source

Radiuma is a major, entirely-revamped upgrade to the original SERA (Matlab-based), now built on Python for broader accessibility and community contribution.

End-to-End

Standardized Workflows

Radiuma employs a number of popular image processing algorithms to create end-to-end standardized workflows for consistent, reproducible research results.

Interface

Radiuma in Action

Radiuma settings panel
Radiuma analysis results
History

Our Origins

Radiuma has been developing since 2021 by the Quantitative Radiomolecular Imaging and Therapy (Qurit) lab & program at the University of British Columbia & BC Cancer Research Institute, Vancouver, BC, Canada.

Radiuma's mission is to bridge the gap between cutting-edge radiomics research and practical clinical application by providing standardized, reproducible, and user-friendly software tools.

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