diff --git a/README.md b/README.md index 062dcd1..96b2177 100644 --- a/README.md +++ b/README.md @@ -1,10 +1,11 @@ -# Polyquant Computed Tomography Reconstruction Toolbox -This Matlab toolbox allows direct quantitative reconstruction from polyenergetic X-ray computed tomography (CT) measurements. We hope you find it useful and welcome any feedback. +# Polyquant CT Reconstruction Toolbox +This Matlab toolbox allows direct quantitative reconstruction from polyenergetic X-ray computed tomography (CT) measurements. We hope you find it useful and welcome any feedback or questions [j.mason@ed.ac.uk]. ## Features - Allows quantitative reconstruction into **electron density**, mass density, proton stopping power, quasi-monoenergetic and more. - Iterative statistical reconstruction under Poisson noise. -- Designed for use with [Michigan Image Reconstruction Toolbox](https://web.eecs.umich.edu/~fessler/code) operators. +- Metal artefact compensation and correction. +- Designed for use with [Michigan Image Reconstruction Toolbox](https://web.eecs.umich.edu/~fessler/code) operators: ensure the toolbox is in your path (by running its 'setup.m') before running these demos. - Non-negative total variation (TV) reguarisation in 2D and 3D, adapted from [UNLocBoX](https://epfl-lts2.github.io/unlocbox-html/). - Integrated polyenergetic scatter estimation and mitigation. - Accelerated ordered sub-sets algorithm with bit-reversal ordering. @@ -21,5 +22,8 @@ These methods are presented in the following publications (please cite if using) - [Jonathan H Mason et al 2017 Phys. Med. Biol. 62 8739](https://doi.org/10.1088/1361-6560/aa9162) - [Jonathan H Mason et al 2018 Phys. Med. Biol. 63 225001](https://doi.org/10.1088/1361-6560/aae794) -For more details, extensions and its use in radiotherapy, you can read my thesis: +For more details, extensions and its use in radiotherapy, you can read the thesis: [Quantitative cone-beam computed tomography reconstruction for radiotherapy planning](http://hdl.handle.net/1842/33193 ) + +## Acknowledgements +Thanks to Mike Davies, Bill Nailon and Alessandro Perelli for their collaboration and supervision during the development of this work. Another thanks to Alessandro for kindly reviewing this code.