• Iterative and non-iterative algorithms for tomographic imaging (PET, SPECT, X-ray CT).
• Methods for magnetic resonance (MR) image reconstruction, including compensation for off-resonance effects (field inhomogeneity, susceptibility, etc.).
• Methods for MR RF pulse design, including MRI spectral-spatial pulse design for phase-precompensatory slice selection
• Iterative image restoration tools.
• Methods for B-spline based image registration with regularization to encourage the deformation to be invertible (diffeomorphic)
• A NUFFT Matlab toolbox that performs fast and accurate nonuniform FFT computations.

Downloading

• Via this link: http://www.eecs.umich.edu/~fessler/irt/irt you can access the individual files and directories.
  However, if you access them one-by-one, you will need to download many files to get much of anything to work.
• Instead, you should just download the entire package file via this link: http://www.eecs.umich.edu/~fessler/irt/fessler.tgz.

Installing

• After downloading, move the tar file to a clean subdirectory before extracting its contents since it installs into the current directory.
• Start by reading the readme file.
• Then try some of the examples in the examples/ directory.

License

• You may freely use and distribute this software as long as you retain the author's name (myself and/or my students) with the software.
• It would also be courteous for you to cite the toolbox and any related publications in any papers that present results based on this software.
• UM and the authors make all the usual disclaimers about liability etc.
• If you make changes to any files, then please change the file name before redistributing to avoid confusion (like the GNU software license). Better yet, email me the changes and I'll consider incorporating them into the toolbox.

Notes

• If you would like to be on email list to receive announcements about updates then please email "fessler AT umich DOT edu". These will be VERY infrequent emails and I will keep your email address private. You can unsubscribe at any time by sending another email to me.
• Although Matlab is an expensive commercial software package, parts of the toolbox will run in freemat, an open-source alternative to Matlab. I hope someday it will all work with freemat.
• The code from Dan Yu for level-set based image reconstruction is here: http://www.eecs.umich.edu/~fessler/irt/yu.tar.gz. Unfortunately, that code is completely undocumented, so I cannot support it at all.
• We welcome feedback, but do remember that this is open source software so you should study the code before sending bug reports.

The learnCT JAVA tutorial may be of interest too.