AGILE: GPU Library for Image Reconstruction
The open source GPU Library
AGILE (Environment for Linear and non-linear Image
reconstruction using Gpu Acceleration) accelerates image
reconstruction problems in medical imaging using the power of
modern GPUs.
AGILE is based on CUDA (needs a Nvidia graphics card) and provides
several features and a sophisticated template design. It also comes
with some example code for Magnetic Resonance Imaging and
Fluorescence Tomography.
The first version of AGILE was recently released at the ISMRM [1]
and can be downloaded at the Website of the
Institute of Medical Engineering
(Graz University of Technology).
I had the chance to work with the library prior to its release as
part of a project on fast MRI image reconstruction. From the things
I've seen while working on this project, I can say it's worth a
look if you're interested in image reconstruction on GPUs.
[1] Knoll, F.; Freiberger, M.; Bredies, K.; Stollberger, R.: AGILE:
An open source library for image reconstruction using graphics card
hardware acceleration. Proc. Intl. Soc. Mag. Reson. Med. 19:2554
(2011).