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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.

What is DWV (DICOM Web Viewer)?

The DICOM Web Viewer, abbreviated as DWV, serves as a powerful, open-source platform designed for the visualization of DICOM images, crafted using JavaScript and HTML5, which functions flawlessly within modern web browsers without requiring additional plugins or installations. This tool allows users to interact with medical images in the DICOM format, utilizing popular web technologies and offering features such as window/level adjustments, zooming capabilities, panning, as well as measuring distances and angles, in addition to examining DICOM metadata. Furthermore, DWV is capable of managing different image layouts and handles both multi-frame and multi-series DICOM files effectively, ensuring a robust user experience. Users can easily annotate images using basic tools and load files directly from local storage or via URLs, greatly improving accessibility. The drag-and-drop functionality enhances file management, while the adaptable architecture permits developers to integrate the viewer into customized web solutions effortlessly. Continuously updated on GitHub, DWV emphasizes a responsive design to guarantee optimal usability across various devices, including desktops, tablets, and smartphones, making it a highly versatile tool for medical imaging professionals. In addition, the active community support and regular updates bolster the viewer's reliability and performance in managing medical image data efficiently. As such, DWV stands out as a crucial resource for healthcare providers in their imaging workflows.

Media

Media

Integrations Supported

Integrations Supported

GitHub
HTML
JavaScript
OsiriX

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Free
Free Version

Supported Platforms

Windows
Mac
Linux

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Mango Viewer

Date Founded

2006

Company Location

United States

Company Website

mangoviewer.com/mango.html

Company Facts

Organization Name

DWV

Company Location

United States

Company Website

ivmartel.github.io/dwv/

Categories and Features

DICOM Viewers

Not specified

Categories and Features

DICOM Viewers

Not specified

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