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- ImageJ runs on Linux, Mac OS 9, Mac OS X, Windows, and the Sharp Zaurus PDA.
- FusionViewer open source & multiplatform PET/CT display software package
- OSIRIX (MAC OSX)
- AIM on ClearCanvas
- 3D Slicer
- MATLAB dicomread function and MATLAB dicominfo function (headers)
Some overviews to get you started with DICOM medical image data like those in TCIA include:
- I Do Imaging at http://idoimaging.com/ includes demonstrations, a wiki, and a blog for several open source medical imaging viewers. Often shares screenshots as well as software, and getting-started guides for the free viewers and suites for working with medical images. Scroll down BELOW the big banner ad to the dropdown menus and select the Function/Speciality/Input Format/OutputFormat/Platform/Language to search, or scroll down for popular suites sorted in different ways. The blog and wiki are also quite helpful.
- DICOM is Easy includes a detailed tutorial which begins at http://dicomiseasy.blogspot.com/p/introduction-to-dicom.html
- An animated video produced by Alpha Grid on behalf of the Maastro Clinic in the Netherlands, explaining research which enables simple 2D scans to be effective in understanding the 3D composition of tumours. https://www.youtube.com/watch?v=Tq980GEVP0Y
- you can also search "DICOM tutorial" or DICOM overview" with your favorite search engine; there are many video walkthroughs for newbies on the Web as well.
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A number of research papers using TCIA data have reported using MATLAB in their analyses.
See this link: https://wiki.cancerimagingarchive.net/dosearchsite.action?queryString=MATLAB
MRI Basic Science and Abbreviations
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DICOM standard abbreviations in a table: https://wiki.cancerimagingarchive.net/display/Public/DICOM+Modality+Abbreviations
And here are links to helpful information about using TCIA.
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