AGILE (gpu image reconstruction library)
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==== Run Example Reconstruction ====
==== Run Example Reconstruction ====
Revision as of 14:11, 9 December 2011
AGILE (Environment for Linear and non-linear Image reconstruction using GPU Acceleration) is an open source library for GPU accelerated reconstruction problems in medical imaging. AGILE is developed at the Institute of Medical Engineering, Gratz University of Technology. It includes reconstruction code for Magnetic Resonance Imaging and Fluorescence Tomography, and was developed and tested on Linux systems.
AGILE is available as a source code bundle and requires a GPU to execute.
AGILE on Desktop
You can run AGILE on your desktop (or other system) as long as it has a GPU installed. You will need to adapt the build instructions for Cheaha below to fit your environment. The instructions for Cheaha are based on a CentOS 5.5 system environment.
The main change will likely be in the location of your CUDA Toolkit and SDK. You may also want to adjust or skip the steps to install the dependencies if you platform already has them installed, though there isn't any harm installing them again in your build directory as described (only a slight disk storage cost).
AGILE on Cheaha
At this time, AGILE can only be run on Cheaha by building from source and running directly on the demonstration GPU node.
Before getting started, please review the Software Build Considerations to help create a sane, reproducible software product.
Using or building software for the GPU on Cheaha requires that you directly log into the GPU compute node. Start an SSH session with cheaha.uabgrid.uab.edu and after you log in execute a second SSH to the GPU compute node.
Set up Build Environment
The build instructions below will assume all commands are executed from a directory dedicated to the AGILE build, after you are logged into the GPU compute node, set up your build environment. In addition to your base build environment you will need the CUDA compiler utilities.
mkdir agile-build cd agile-build bash PATH=/bin:/usr/bin; unset LD_LIBRARY_PATH module load cuda/cuda-4 export MY_AGILE_BUILD_HOME=$PWD
Install Dependencies for AGILE Build
CMake is a build management tool that provides utilities to support cross platform code. The CMake project provides a 32-bit binary for Linux that you can use. The utilities only control the build process, therefore the 32-bit code CMake code should not affect the 64-bit AGILE binaries produced below.
wget http://www.cmake.org/files/v2.8/cmake-2.8.6-Linux-i386.tar.gz tar xvfz cmake-2.8.6-Linux-i386.tar.gz PATH=$PATH:$PWD/cmake-2.8.6-Linux-i386/bin
Boost is a collection of peer-reviewed portable C++ libraries that are targeted for standardization. Install boost with:
wget 'http://downloads.sourceforge.net/project/boost/boost/1.48.0/boost_1_48_0.tar.gz?r=http%3A%2F%2Fsourceforge.net%2Fprojects%2Fboost%2Ffiles%2Fboost%2F1.48.0%2F&ts=1322092023&use_mirror=cdnetworks-us-2' tar xvfz boost_1_48_0.tar.gz cd boost_1_48_0 ./bootstrap.sh --prefix=$PWD/../boost ./b2 install cd .. export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$PWD/boost/lib
Doxygen is a documentation system that supports many languages and builds documentation from source code and comments embedded in the source code, helping ensure accurate API documentation.
wget http://ftp.stack.nl/pub/users/dimitri/doxygen-18.104.22.168.src.tar.gz tar xvfz doxygen-22.214.171.124.src.tar.gz cd doxygen-126.96.36.199 ./configure --prefix $PWD/../doxygen make make install cd .. export PATH=$PATH:$PWD/doxygen/bin
Build and Install AGILE Library
The AGILE library is built in a dedicated sub-directory of the AGILE source code extract. The following steps install the AGILE library in the build directory and sets an environment variable $AGILE_LIB_HOME that may be useful for additional work with the AGILE library.
wget http://www.imt.tugraz.at/uploads/files/misc/agile-20110727.zip unzip agile-20110727.zip cd agile mkdir build cd build cmake -DBOOST_ROOT=../../boost -DCMAKE_INSTALL_PREFIX=../../agile-lib/ -DCUDA_SDK_ROOT_DIR=$CUDAHOME/NVIDIA_GPU_Computing_SDK .. make make install cd ../.. export AGILE_LIB_HOME=$PWD/agile-lib/
Run Example Reconstruction
AGILE comes with a number of tutorials and an example reconstruction code for total generalized variation (TGV2) image reconstruction from multiple coil data. See paper in reference at AGILE site. More information is available the corresponding readme.txt file:
You can run this example in your current build environment with the following commands:
cd $MY_AGILE_BUILD_HOME/agile/apps/tgv_radial_image_recon ../../build/apps/tgv_radial_image_recon/nfft2d_tgv_recon_nogfx -param=recon_32_param.txt
This run will produce the output file recon_32.dat
AGILE is not supported on Cheaha beyond the above build instructions provided for AGILE.
Please visit the AGILE web site for information on use.
Thanks to Dr. Purushotham Bangalore, CIS@UAB for the original build script for AGILE.
Please visit the AGILE home page for all additional needs.