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What is OHIF Viewer?

The OHIF Viewer, provided by the Open Health Imaging Foundation, is an open-source web-based platform that focuses on medical imaging and offers a solid foundation for developing complex imaging applications. It is engineered to efficiently load extensive radiology studies by pre-fetching crucial metadata and streaming pixel data as necessary. With the incorporation of Cornerstone3D, it adeptly decodes, renders, and annotates medical images. Users enjoy seamless integration with DICOMWeb-compliant image archives and a data source API that facilitates connections with proprietary API formats. The viewer's plugin architecture supports the creation of tailored workflow modes that leverage existing core features. Moreover, its user interface, developed with React.js and Tailwind CSS, not only presents an attractive design but is also designed for extensibility, featuring a library of reusable UI components that improve usability and customization. In addition, this collection of attributes makes the OHIF Viewer a highly adaptable asset in the realm of medical imaging, catering to a wide range of user needs and applications.

What is Mango Viewer?

Mango Viewer is a powerful graphical user interface designed specifically for the analysis of medical images, accommodating a wide range of file formats, including DICOM, NIfTI, and ANALYZE. This application provides an extensive array of tools for examining and interpreting medical imaging data, featuring multi-planar viewing options such as axial, sagittal, and coronal views, in addition to sophisticated surface rendering capabilities and functions for defining and analyzing regions of interest. The user-friendly interface of Mango facilitates scripting and batch processing, making repetitive tasks much easier for users. Moreover, it includes advanced features like image overlay, image fusion, and visualization of 4D data, along with dynamic contrast-enhanced imaging capabilities. Users can leverage ROI tools to extract important statistical information, such as volume, mean, and standard deviation, and they can create ROIs either manually or through automated methods. Furthermore, Mango’s proficiency in managing multiple images proves beneficial for comparative studies, and its functionality is enhanced by plugins that cater to brain mapping, tractography, and perfusion analysis. Notably, this adaptable software is platform-independent, ensuring users can access it across various systems. With its rich set of features and capabilities, Mango Viewer serves as an invaluable resource for researchers and professionals within the medical imaging domain, facilitating innovative studies and advancements in the field.

Media

Media

Integrations Supported

React
Tailwind CSS
Unomed Cloud PACS

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Free
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS
Windows
Mac
Linux

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

OHIF

Company Location

United States

Company Website

docs.ohif.org

Company Facts

Organization Name

Mango Viewer

Date Founded

2006

Company Location

United States

Company Website

mangoviewer.com/mango.html

Categories and Features

DICOM Viewers

Not specified

Categories and Features

DICOM Viewers

Not specified

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