Traditional Radiomics

Config: feature_types includes traditional

Output: raw_image_radiomics.csv

Definition

PyRadiomics features extracted from each preprocessed image modality within a tumor ROI. The ROI is a binary mask derived from the habitat label map (voxels with label \(\ge 1\) → foreground); anatomical masks/ files are not used. Habitat labels are otherwise ignored—features reflect intratumoral signal and texture on the raw (multi-delay) images.

Implementation

Parameter file: params_file_of_non_habitat (optional; bundled roi preset → habit/resources/radiomics/parameter.yaml when omitted)
Code: habit/core/habitat_analysis/habitat_features/builtin_plugins.py (TraditionalRadiomicsPlugin) → habitat_radiomics.py

Output columns

Column pattern	Description
`{pyradiomics_feature}_of_{modality}`	One column per PyRadiomics feature × image modality under the subject folder
(excluded)	Columns whose names contain `diagnostic` are dropped before export

Feature definitions

See PyRadiomics Feature Reference.