Best DICOM Viewers for Linux

​The Open Health Imaging Foundation (OHIF) Viewer is an open source, web-based medical imaging platform designed to serve as a foundational framework for developing complex imaging applications. It is optimized for the rapid loading of extensive radiology studies by pre-fetching metadata and streaming imaging pixel data as required. It utilizes Cornerstone3D for efficient decoding, rendering, and annotation of medical images. Out-of-the-box compatibility with DICOMWeb-compliant image archives is provided, alongside a data source API for integration with archives using proprietary API formats. OHIF's plugin architecture facilitates the creation of task-specific workflow modes that can leverage existing core functionalities. The user interface, built with React.js and Tailwind CSS, is both aesthetically pleasing and designed for extensibility, with UI components available in a reusable component library.

​Weasis is a free, open source DICOM viewer designed for both standalone and web-based use, featuring a highly modular architecture. It is widely utilized in healthcare settings, including hospitals, health networks, multicenter research trials, and by patients. As cross-platform software, Weasis offers flexible integration with PACS, RIS, HIS, or EHR systems. The viewer leverages the OpenCV library to deliver high-performance and high-quality medical imaging renderings. From version 4 onwards, Weasis features a responsive user interface aligned with operating system options, offering an enhanced experience on high-resolution screens. Key features include support for a wide range of DICOM files, such as multi-frame, enhanced, MPEG-2, MPEG-4, and more. Users can import DICOM files via DICOM Query/Retrieve (C-GET, C-MOVE, and WADO-URI) and DICOMWeb (QUERY and RETRIEVE), as well as import and export DICOM CD/DVD with DICOMDIR.

MiNNOVAA is a medical information technology company providing solutions in the field of medical imaging software and medical image exchange. Our motto is 'medical imaging innovation,' and our key characteristic is the agility and cutting-edge technology we employ to develop our solutions. Our primary focus areas include medical image viewer, radiology workflow, and artificial intelligence in diagnostic reporting. With a young and dynamic team consisting of approximately 20 programmers and product managers, along with colleagues in marketing, sales, technical support, call center, and administration, we strive to make a significant transformation in medical imaging and contribute to individual healthcare. Our clinical imaging IT solution caters to mid-size hospitals and imaging clinics, providing an extensive range of features, including on-premise core PACS software, DICOM web viewer, imaging workstation software (multi-platform), integration with EHR/EMR/HIS, and workflow engine/RIS.