Examples#
These worked examples show common GUI and Python API workflows.
GUI examples#
DICOM and NIfTI preprocessing examples, including representative resampling settings for each workflow.
Mean, LoG, Riesz-transformed LoG, separable wavelet, and Simoncelli filtering controls, with example configurations and result comparisons.
A representative radiomics extraction setup showing the main parameter choices used in the GUI.
Python API examples#
The snippets use example paths for images, masks, and output files. Replace them with your own paths after installing Z-Rad. The single-image examples can use the bundled IBSI CT phantom; read its attribution and license terms before reusing or redistributing the data.
Resample a CT image and ROI mask to a shared isotropic grid.
Load a DICOM series and structure, then resample slice-wise.
Save Mean, LoG, and wavelet responses from the same image.
Prepare an intensity mask and extract statistics and GLCM features.
Use the same ROI to compare original and filtered feature images.
Preprocess a case, extract a CSV, and inspect batch results.