All software

3DSlicer

CIL

Provides modular optimisation framework for prototyping reconstruction methods. Tools for loading, preprocessing, visualising tomographic data. Supports Jupyter Notebooks via Docker.

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). Aims to develop computational methods for biomedical data.

MITK

Combines ITK and VTK with an application framework. Aims to reduce effort for interactive medical image analysis applications. Supports Windows, Linux, macOS.

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. Archived by the owner on Jul 31, 2023.

OnkoDICOM

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

OsiriX

Widely used DICOM viewer. Supports 2D, 3D, 4D, 5D viewing. Plugin architecture. Commercial version "OsiriX MD" is FDA/CE certified. Open-source version has limited functionality. OSAIRIS is a cloud-based AI tool for automatic segmentation of radiotherapy images.

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. Jupyter notebooks provided.

Pydicer

Eases conversion of Radiotherapy DICOM data to research-ready format (NIfTI). Provides analysis functionality. Uses SimpleITK and PlatiPy. Still a research tool, users should inspect outputs.