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Description
Mango Viewer, a robust graphical user interface for medical image analysis, is specifically crafted to accommodate a variety of file formats, such as DICOM, NIfTI, and ANALYZE, among others. This tool offers a comprehensive suite of functionalities for exploring and interpreting medical imaging data, which includes multi-planar viewing options like axial, sagittal, and coronal perspectives, as well as advanced surface rendering and the capability to define and analyze regions of interest. Mango is equipped with a user-friendly interface that facilitates scripting and batch processing, streamlining repetitive tasks for users. Additionally, it encompasses features such as image overlay, image fusion, and the ability to visualize 4D data, alongside dynamic contrast-enhanced imaging analysis. The ROI tools enable extraction of statistical data, including volume, mean, and standard deviation, with the option to create ROIs either manually or through algorithmic generation. Furthermore, Mango excels in handling multiple images, making it ideal for comparative studies, and enhances its functionalities through plugins that support brain mapping, tractography, and perfusion analysis. Notably, this versatile software operates independently of any platform, ensuring accessibility across different systems. With its rich feature set, Mango Viewer stands out as a valuable asset for researchers in the field of medical imaging.
Description
The Open Health Imaging Foundation (OHIF) Viewer is an open-source web platform dedicated to medical imaging, providing a robust framework for the creation of intricate imaging applications. It is designed to quickly load large radiology studies by pre-fetching essential metadata and streaming imaging pixel data as needed. With the integration of Cornerstone3D, it efficiently decodes, renders, and annotates medical images. Users benefit from seamless compatibility with DICOMWeb-compliant image archives and a data source API that allows for integration with proprietary API formats. The viewer’s plugin architecture enables the development of specialized workflow modes that make use of existing core functionalities. Additionally, its user interface, crafted using React.js and Tailwind CSS, not only boasts a visually appealing design but is also built for extensibility, featuring a library of reusable UI components that enhance overall usability and customization. This combination of features positions the OHIF Viewer as a versatile tool in the field of medical imaging.
API Access
Has API
API Access
Has API
Integrations
React
Tailwind CSS
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Mango Viewer
Founded
2006
Country
United States
Website
mangoviewer.com/mango.html
Vendor Details
Company Name
OHIF
Country
United States
Website
docs.ohif.org
