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Mango (software)

The topic of Mango (software) has been the subject of interest and debate for a long time. Over the years, Mango (software) has captured the attention of experts and enthusiasts alike, generating a wide spectrum of opinions and perspectives. From its origins to its relevance today, Mango (software) has played a significant role in various fields, affecting the lives of millions of people around the world. In this article, we will explore in depth the history, impact and future implications of Mango (software), providing a comprehensive and insightful look at this crucial topic.

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This article is about the medical visualisation software. For other uses, see Mango (disambiguation).
Mango
DevelopersUniversity of Texas Health Science Center at San Antonio
Jack L. Lancaster
Michael J. Martinez
Stable release
4.1
Written inJava
Operating systemLinux, Mac OS, Windows
TypeNeuroimaging software
LicenseFreeware
Websiteric.uthscsa.edu/mango

Mango (Multi-Image Analysis GUI) is a non-commercial software for viewing, editing and analyzing volumetric medical images. Mango is written in Java, and distributed freely in precompiled versions for Linux, Mac OS and Microsoft Windows. It supports NIfTI, ANALYZE, NEMA and DICOM formats and is able to load and save 2D, 3D and 4D images.

Mango provides tools for creation and editing of regions of interest (ROI) within the images, surface rendering, image stacking (overlaying), filtering in space domain and histogram analysis, among other functions that can be used in neuroimaging analysis[1][2] for scientific (non-clinical) purposes.

The software can be extended with user-defined functions (plug-ins), which can be created using the Java language and the Mango API.

See also

References

  1. ^ Szabó CA, Narayana S, Franklin C, et al. (Nov 2008). ""Resting" CBF in the epileptic baboon: Correlation with ketamine dose and interictal epileptic discharges". Epilepsy Res. 82 (1): 59–65. doi:10.1016/j.eplepsyres.2008.07.015. PMC 3184423. PMID 18801644.
  2. ^ Narayana S, Jacks A, Robin DA, et al. (Nov 2008). "A Non-Invasive Imaging Approach to Understanding Speech Changes following Deep Brain Stimulation in Parkinson's Disease". Am J Speech Lang Pathol. 18 (2): 146–61. doi:10.1044/1058-0360(2008/08-0004). PMC 2779712. PMID 19029533.


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