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AnderBiguri authored Jun 27, 2016
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Expand Up @@ -2,19 +2,23 @@ TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox
======

TIGRE is a MATLAB/CUDA toolbox for fast and accurate 3D tomographic
reconstruction. Currently it contains Cone Beam CT geometries. The
objective of TIGRE is to provide tomograpy users a wide variety of image
reconstruction algorithims in an easy to use and fast form, and image
reconstruction reearchers basic blocks for algorithm design and testing for
big datasets.
reconstruction. The aim of TIGRE is providing a wide range of easy-to-use
iterative algorithms to the tomographic research community.
We would like to build an stronger bridge between the algorithm researchers and
imaging researchers, by encouraging and supporting contributions frmo both sides into
TIGRE. TIGRE is free to use and distribute, use it, modify it, break it, share it;
the only requirements is proper referencing to the authors.

Currently it contains Cone Beam CT geometries, and a beta of parallel geometires.


**TIGRE features**:

- Fast (state of the art) projection using interpolation or Siddon ray-tracing
- Fast (state of the art) projection using interpolation or Siddon (Jacob) ray-tracing

- Fast (state of the art) backprojection, with FDK weigth or matched weigths

- A wide range of algorithms with multiple parameters in each
- A wide range of algorithms with multiple configurations for each in each
- FDK
- SART
- OS-SART
Expand Down Expand Up @@ -119,7 +123,7 @@ this. Hopefully we can find a solution for this without the need of restarting M

TIGRE toolbox is released under the BSD License, meaning you can use and modify
the software freely in any case, but you **must** give attribution to the original authors.
For more information, read the license file or the [BSD License Definition][5].
For more information, read the license file or the [BSD License Definition][5] or [the license file][6]

## Contact

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If you use TIGRE in any publications, please reference the following paper:


**TIGRE: A MATLAB-GPU toolbox for CBCT image reconstruction**
*Ander Biguri, Manjit Dosanjh, Steven Hancock, and Manuchehr Soleimani*
*To be published*, 2016

Also, if you use any algorithm, you should reference the corresponding creator
of the algorithms. If you dont know the article, use `citeme('NameOfFunction')`
Expand All @@ -147,7 +153,8 @@ and the rigth reference will appear.


[1]: https://developer.nvidia.com/cuda-downloads
[2]: https://github.com/AnderBiguri/TIGRE/issues
[2]: https://github.com/CERN/TIGRE/issues
[3]: https://stackoverflow.com/help/mcve
[4]: https://help.github.com/articles/applying-labels-to-issues-and-pull-requests/
[5]: http://www.linfo.org/bsdlicense.html
[5]: http://www.linfo.org/bsdlicense.html
[6]: https://github.com/CERN/TIGRE/license.txt

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