The ASTRA Toolbox is a MATLAB toolbox of high-performance GPU primitives for 2D and 3D tomography.
We support 2D parallel and fan beam geometries, and 3D parallel and cone beam. All of them have highly flexible source/detector positioning.
A large number of 2D and 3D algorithms are available, including FBP, SIRT, SART, CGLS.
The basic forward and backward projection operations are GPU-accelerated, and directly callable from MATLAB to enable building new algorithms.
See the matlab code samples in samples/ and on http://sf.net/projects/astra-toolbox .
Add the mex and tools subdirectories to your matlab path.
Requirements: g++, boost, CUDA (driver+toolkit), matlab
cd build/linux
./configure --with-cuda=/usr/local/cuda \
--with-matlab=/usr/local/MATLAB/R2012a \
--prefix=/usr/local/astra
make
make install
Add /usr/local/astra/lib to your LD_LIBRARY_PATH. Add /usr/local/astra/matlab and its subdirectories (tools, mex) to your matlab path.
NB: Each matlab version only supports a specific range of g++ versions. Despite this, if you have a newer g++ and if you get errors related to missing GLIBCXX_3.4.xx symbols, it is often possible to work around this requirement by deleting the version of libstdc++ supplied by matlab in MATLAB_PATH/bin/glnx86 or MATLAB_PATH/bin/glnxa64 (at your own risk).
Requirements: Visual Studio 2008, boost, CUDA (driver+toolkit), matlab. Note that a .zip with all required (and precompiled) boost files is available from our website.
Set the environment variable MATLAB_ROOT to your matlab install location. Open astra_vc08.sln in Visual Studio. Select the appropriate solution configuration. (typically Release_CUDA|win32 or Release_CUDA|x64) Build the solution. Install by copying AstraCuda32.dll or AstraCuda64.dll from bin/ and all .mexw32 or .mexw64 files from bin/Release_CUDA or bin/Debug_CUDA and the entire matlab/tools directory to a directory to be added to your matlab path.
If you use parallel beam GPU code for your research, we would appreciate it if you would refer to the following paper:
W. J. Palenstijn, K J. Batenburg, and J. Sijbers, "Performance improvements for iterative electron tomography reconstruction using graphics processing units (GPUs)", Journal of Structural Biology, vol. 176, issue 2, pp. 250-253, 2011.
The ASTRA Toolbox is open source under the GPLv3 license.
email: [email protected] website: http://sf.net/projects/astra-toolbox
Copyright: 2010-2015, iMinds-Vision Lab, University of Antwerp 2014-2015, CWI, Amsterdam http://visielab.uantwerpen.be/ and http://www.cwi.nl/