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
