AGILE (gpu image reconstruction library)

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.

Using AGILE

AGILE is available as a source code bundle and requires a GPU to execute.

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.

Preliminary Requirements

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.

ssh cheaha-compute-1-9

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/cuda4.0
export $MY_AGILE_BUILD_HOME=$PWD

Install Dependencies for AGILE Build

CMake

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

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

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-1.7.5.1.src.tar.gz
tar xvfz doxygen-1.7.5.1.src.tar.gz 
cd doxygen-1.7.5.1
./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:

less $MY_AGILE_BUILD_HOME/agile/apps/tgv_radial_image_recon/readme.txt

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

References

Thanks to Dr. Purushotham Bangalore, CIS@UAB for the original build script for AGILE.

Please visit the AGILE home page for all additional needs. File:Example.jpg

AGILE Support

AGILE is not supported on Cheaha beyond the above build instructions provided for AGILE.

AGILE Tutorials

Please visit the AGILE web site for information on use.