Update README.md

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 [[email protected]].
 
 ## 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.