data
Load DICOM datasets as numpy arrays with voxel dimensions
load_example_ct
load_example_ct (labels=None, orientation='AP', bone_attenuation_multiplier=1.0)
Load an example chest CT for demonstration purposes.
read
read (filename:str|pathlib.Path, labelmap:str|pathlib.Path=None, labels:int|list=None, orientation:str='AP', bone_attenuation_multiplier:float=1.0, **kwargs)
Read an image volume from a variety of formats, and optionally, any given labelmap for the volume. Converts volume to a RAS+ coordinate system and moves the volume isocenter to the world origin.
| Type | Default | Details | |
|---|---|---|---|
| filename | str | Path | Path to CT volume | |
| labelmap | str | Path | None | Path to a labelmap for the CT volume |
| labels | int | list | None | Labels from the mask of structures to render |
| orientation | str | AP | Frame-of-reference change |
| bone_attenuation_multiplier | float | 1.0 | Scalar multiplier on density of high attenuation voxels |
| kwargs | |||
| Returns | Subject | Any additional information to be stored in the torchio.Subject |