Mango – short for Multi-image Analysis GUI – is a viewer for medical research images. It provides analysis tools and a user interface to navigate image volumes.
There are three versions of Mango, each geared for a different platform:
- Mango – Desktop – Mac OS X, Windows, and Linux
- webMango & Papaya – Browser – Firefox, Chrome, Safari and IE
- iMango – Mobile – Apple iPad
- 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
- 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
Designed and developed by Jack L. Lancaster, Ph.D. and Michael J. Martinez.
Primary support for continuing software development is being provided by the 'Mango' grant (R01-EB015314-01a1) NIH/NIBIB.