All software

CIL

Provides modular optimisation framework for prototyping reconstruction methods. Tools for loading, preprocessing, visualising tomographic data.

med-imagetools

Aims to provide transparent and reproducible medical image processing pipelines in Python. Focuses on subject-based machine learning and processing DICOMs into deep learning-ready format.

MIPAV

Enables quantitative analysis and visualization of medical images. Cross-platform (Java).

MITK

Combines ITK and VTK with an application framework. Aims to reduce effort for interactive medical image analysis applications.

mri_distortion_toolkit

A toolkit to correct geometric distortion in MR images. Includes tools for converting DICOM to NIfTI, and generating distortion correction maps.

mudicom

A Python library for interacting with DICOM files. Provides a simpler, more intuitive interface than other libraries.

NIM-Studio

OnkoDICOM

Cross-platform. Provides DVH output, clinical data capture (radiomics), Pyradiomics output, anonymization, ROI manipulation.

OsiriX

Widely used DICOM viewer. Supports 2D, 3D, 4D, 5D viewing.

Plastimatch

Focuses on high-performance volumetric registration, segmentation, and image processing of volumetric medical images. Supports DICOM and DICOM-RT import/export.

PlatiPy

Aims to simplify use, visualization, processing, and analysis of medical images. Built on SimpleITK, VTK.

Pydicer

Eases conversion of Radiotherapy DICOM data to research-ready format (NIfTI). Provides analysis functionality.