Phenotyping
MITK Phenotyping is a selection of different methods and algorithms that can be used for Radiomics-related research and application building. It is mainly developed within the Division Medical Image Computing at the German Cancer Research Center (DKFZ).
MITK Phenotyping is part of the main MITK Software. Currently, it contains some software part that are not yet integrated in the main release. It is planned to merge both, MITK Phenotyping and MITK Workbench into a single software package.
Features & Highlights
Support for most established medical imaging file formats
- Images: DICOM, NIFTI, NRRD and other
- VTK file formats (for meshed, point sets etc..)
Image preprocessing
- Registration using MatchPoint
- Image Filtering and processing
- Laplacian of Gaussian (LoG)
- Wavelet-Transformation
- Mathematical Operations
Semiautomatic Segmentation
- Multilabel Support
- Several manual and semiautomatic segmentation methods
- Extra Tools for Segmentation Cleaning / Postprocessing
Radiomics Feature Calculation
- Wide range of possible Features
- Tested in combination with the IBSI initiative
- Possibility of encoding feature parameters in feature names
Documentation and Help
The modules and Tools are documented within the MITK documentation. The following list directly lists the most importants parts of this documentation:
- Feature overview: All classes for the calculation of radiomics features are derived from AbstractGlobalImageFeature Class, including