Mango – Multi-image Analysis GUI – medical research image viewer

Mango (Multi-image Analysis GUI) is a viewer for medical research images. It provides analysis tools and a user interface to navigate image volumes.

When Mango is started a Toolbox is displayed with basic menus for opening images, setting options, getting help, selecting windows and specific control icons.

The software is written in the Java programming language.

Features include:

• Support for Analyze, DICOM, NEMA-DES, MINC, NIFTI and NIFTI2 image formats.
• Support for VTK (legacy), GIFTI (.surf.gii) and BrainVisa surface formats.
• Partial support for TIFF, Concorde microPET, AFNI (legacy), Stimulate, and CTI ECAT.
• Development: Supports both Java Plugin API and Python Script API development.
• Customizable: Create custom filters, color tables, file formats, and atlases.
• Command-line integration: open and process images from the command-line.
• Web: Custom protocol and Papaya JavaScript viewer.
• ROI Editing: Threshold and component-based tools for painting and tracing ROIs.
• Surface Rendering: Interactive surface models supporting cut planes and overlays.
• Image Registration: Semi-automatic image coregistration and manual transform editing.
• Image Stacking: Threshold and transparency-based image overlay stacking.
• Analysis: Histogram, cross-section, time-series analysis, image and ROI statistics.
• Processing: Kernel and rank filtering, arithmetic/logic image and ROI calculators.
• Cross-platform support. As the software is Java based, it runs under Linux, Mac OS X, and Windows. There’s also a web-based version, and for the iPad.

Website: mangoviewer.com
Support:
Developer: Jack L. Lancaster, Ph.D. and Michael J. Martinez
License: Freeware

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