Library for reconstructing arbitrary defined 3D sectionsfrom volumetric medical scans
dicom3d is a comprehensive Python package for reconstructing arbitrary defined 3D sections from volumetric medical scans (CTs or RMNs), scale accurate and with a builtin pixel-to-world coordinate mapping system.
It comes preloaded with the necessary mathematical backend to manipulate space information from medical scans, and provides a mapping system that can transparently handle different imaging properties such as pixel density, dataset thickness, patient orientation, patient positioning, etc.
It relies on pydicom for loading DICOM medical images and numpy for array manipulation.
For source code and documentation visit dicom3d GitHub repository
From PyPi package repository:
pip install dicom3d
Licence for this Python package is the MIT License under Copyright (c) 2020 Bitdefender.
Developed and maintained by Alex Mircescu (
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