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Updated: Feb 15, 2026

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
Published on: January 8, 2018
Guidelines and Experience Using Imaging Biomarker Explorer (IBEX) for Radiomics.
Rachel B Ger1, Carlos E Cardenas1, Brian M Anderson1
1Department of Radiation Physics, The University of Texas MD Anderson Cancer Center; UTHealth Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center.
Imaging Biomarker Explorer (IBEX) is an open-source tool for radiomics. IBEX facilitates medical imaging analysis, feature extraction, and has been applied in clinical studies to enhance survival models.
Area of Science:
- Radiomics
- Medical Imaging Analysis
- Computational Pathology
Background:
- Radiomics is an emerging field that extracts quantitative features from medical images.
- Standardized tools are needed for reproducible radiomics analysis.
- The Imaging Biomarker Explorer (IBEX) is an open-source software designed for radiomics workflows.
Purpose of the Study:
- To describe the utilization of the Imaging Biomarker Explorer (IBEX) graphical user interface (GUI).
- To demonstrate the application of IBEX-derived radiomic features in clinical research.
- To highlight the capabilities of IBEX in medical imaging analysis.
Main Methods:
- IBEX supports DICOM image import with associated structure files (DICOM RT or Pinnacle).
- The IBEX GUI offers tools for image manipulation, measurements, and contour editing.
- IBEX provides 27 preprocessing options and 132 feature choices with adjustable parameters.
Main Results:
- IBEX generates a comprehensive output spreadsheet detailing calculated features, image information, and analysis parameters.
- IBEX-calculated features have been utilized in studies assessing feature variability across imaging conditions.
- Features derived from IBEX have been incorporated into survival models to improve predictive accuracy.
Conclusions:
- IBEX is a versatile, open-source tool for radiomics research, offering extensive customization.
- The software facilitates reproducible feature extraction and analysis for clinical applications.
- IBEX-derived features show potential for enhancing clinical decision-making and patient outcome prediction.
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