Mango is a viewer for medical image volumes. It provides tools to analyze images and an interface to navigate the image volume. The following is a list of its major features:
- Multi-platform: Mac OS X, Windows, and Unix/Linux
- Extensible: Supports Java plugin development, custom image formats, custom atlases, custom filters, and custom color tables
- Command-line integration: Image files can be opened and converted via the command-line and shell scripts
- Built-in support for the following image formats: NIFTI (rw), Analyze (rw), NEMA (rw), and DICOM (r)
- ROI Editing: Threshold and component-based tools for creating, painting, and tracing ROIs
- Surface Rendering: Interactive surface models supporting cut planes and overlays
- Image Registration: Semi-automatic image coregistration and manual image 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
Developed by: Jack L. Lancaster, Ph.D., Michael J. Martinez
Research Imaging Center, University of Texas Health Science Center San Antonio
Mango Multi-Image Analysis GUI