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.
- 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
- 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.
Support for software development was provided by the ‘Mango’ grant (R01-EB015314-01a1) NIH/NIBIB.