Aliza MS is a free open-source DICOM viewer with a dozen of clinical-ready features.
It is available for Windows, Linux, and macOS. Because it is primarily written in C++ and C, It has a good performance even in working with large files and data sets.
Features
Very fast directory scanner, DICOMDIR
2D and 3D views with many tools
View uniform and non-uniform series in physical space
2D+t, 3D+t animations
Consistently de-identify DICOM
View DICOM metadata
Ultrasound incl. proper measurement in regions, cine
Scout (localizer) lines
Grayscale soft copy presentation
Structured report
Compressed images
RTSTRUCT contours
Siemens mosaic format
United Imaging Healthcare (UIH) Grid / VFrame format
Elscint ELSCINT1 PMSCT_RLE1 and PMSCT_RGB1
Compressed images
Fast directory scanner, DICOMDIR
View uniform and non-uniform series in physical space
Ultrasound incl. proper measurement in regions, cine
Intersections in study
Grayscale softcopy presentation
SR (structured report)
RTSTRUCT contours
2D and 3D views with many tools
Registration (Elastix front-end)
Fusion (e,g. PET-CT)
100+ filters
PET SUV
SR (structured report)
DWI
Mesh to binary, labels to mesh and other segmentation tools
Medical imaging formats (import/export): MetaIO, Nrrd, Nifti
Miele-LXIV is a Mac OSX native DICOM workstation and viewer, It's completely free/ libre software as it released under GPL3.0 license. Miele-LXIV is developed and maintained by group of developers who are providing regular upgrade for it.
Miele-LXIV is available for installing from the iTunes app store (macApp) which
Horos DICOM Viewer is a free and open-source medical image viewer. It is designed to provide a complete solution for viewing, analyzing, and sharing medical images in DICOM format. The goal of the Horos Project is to develop a fully functional, 64-bit medical image viewer for OS X. Horos is
What is DICOM?
DICOM, which stands for Digital Imaging and Communications in Medicine, is a standardized format that enables medical professionals to access and share medical images regardless of their location or the devices they use. DICOM images require specific software known as DICOM viewers to read and display the
RadioLogic is a case-based learning and self-assessment tool for the Orthanc Ecosystem for Medical Imaging.
Case-based learning (CBL) is an efficient method for radiologist education. RadioLogic is a system to create clinical-cases from real DICOM files and to provide a self-assessment tool to users to view the studies, submit a
The dicom or formerly "go-dicom" is a library and command-line tool to read, write, and generally work with DICOM medical image files in native Go.
The goal is to build a full-featured, high-performance, and readable DICOM parser for the Go community.
The project is started by Suyash Kumar, a software
Fo-DICOM is an open-source DICOM parser library for Windows platform and the Mono Framework. It also works for the Unity games engine, as many developers built DICOM and Radiology apps on top of it.
The project is packed by a strong community of contributors, who keep it updated and ready
