AMIGOpy Variables and File Categories¶

AMIGOpy supports multiple file extensions and automatically groups them into categories.
This approach ensures that the particularities of each supported format are abstracted into unified categories, allowing the software to behave more consistently and predictably.

The two main categories currently supported are:

Medical Images - Detailed info - Medical Image Structure in AMIGOpy Sub-items - Structures within image series
3D Objects

Each category is briefly described below with more details about python structure in category-specific pages.

Medical Images¶

Medical imaging data is a central part of AMIGOpy's workflow.
This category includes both DICOM and NIfTI formats, automatically normalized to a category-based structure for consistent behavior across the software.

Supported Extensions¶

Format	Extensions	Description
DICOM	`.dcm`	Medical images and metadata in DICOM standard format.
RT Plan	`.dcm`	DICOM radiotherapy plans, stored under the medical image category.
RT Struct	`.dcm`	DICOM structure sets, containing contour and region information.
RT Dose	`.dcm`	DICOM radiotherapy dose distributions.
NIfTI	`.nii`, `.nii.gz`	Neuroimaging format widely used for research; fully integrated in AMIGOpy.

Internal Representation¶

Internally, AMIGOpy converts all formats into a common structure stored within:

self.medical_images

3D Objects¶

AMIGOpy also supports loading 3D object files used in simulations, phantom design, and visualizations.
These files are grouped under the 3d_objects category, ensuring consistent handling of geometry and surface data.

Supported Extensions¶

Format	Extensions	Description
STL	`.stl`	Widely used for 3D printing and phantom design.
OBJ	`.obj`	Standard geometry and surface definition files for visualization.
3MF	`.3mf`	Modern 3D format supporting colors, textures, and metadata.

Internal Representation¶

All loaded 3D object data is stored within the variable:

self.objects_3d