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
- 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.
- Lancaster JL, Cykowski MD, McKay DR, Kochunov PV, Fox PT, Rogers W, Toga AW, Zilles K, Amunts K, Mazziotta J (2010). Anatomical Global Spatial Normalization. Neuroinformatics, 8:171–182. [PDF]
- Lancaster JL, Laird AR, Eickhoff SB, Martinez MJ, Fox PM, Fox, PT (2012). Automated regional behavioral analysis for human brain images. Frontiers in Neuroinformatics, 6, 23. [PDF]
- Lancaster JL, McKay DR, Cykowski MD, Martinez MJ, Tan X, Valaparla S, Zhang Y, Fox PT (2011). Automated analysis of fundamental features of brain structures. Neuroinformatics, 9(4):371-80. [PDF]
A list of known publications that used Mango for image processing can be found here.
Primary support for continuing software development is being provided by the 'Mango' grant (R01-EB015314-01a1) NIH/NIBIB.