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Updated: Jan 29, 2026
10:17
Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
Published on: January 8, 2018
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MITK Phenotyping: An open-source toolchain for image-based personalized medicine with radiomics
Michael Götz1, Marco Nolden2, Klaus Maier-Hein3
1Medical Image Analysis, Division Medical Image Computing, DKFZ Heidelberg, Germany; National Center for Tumor Diseases (NCT), Heidelberg, Germany.
Summary
Radiomics, the extraction of quantitative features from medical images, is advancing personalized medicine. The MITK Phenotyping framework offers a comprehensive, standards-compliant platform for radiomic analysis.
Area of Science:
- Medical imaging analysis
- Quantitative feature extraction
- Personalized medicine
Background:
- Radiomics utilizes quantitative features from medical images.
- Radiomics shows potential in personalized medicine.
- Existing radiomics frameworks may lack comprehensive features or standardization.
Purpose of the Study:
- To introduce the MITK Phenotyping framework.
- To highlight its comprehensive feature set and adherence to international standards.
- To showcase its versatility across different user interfaces and programming languages.
Main Methods:
- Implementation of an exhaustive set of radiomic features.
- Adherence to the most recent international standards for radiomics.
- Support for diverse user interfaces and programming languages.
Main Results:
- The MITK Phenotyping framework provides a robust platform for radiomic analysis.
- It offers a wide array of quantitative features.
- It ensures compliance with current radiomics standards.
Conclusions:
- MITK Phenotyping is a valuable open-source tool for radiomics.
- It facilitates the integration of radiomics into personalized medicine workflows.
- Its comprehensive and standardized approach supports advanced medical imaging research.
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