7510

The AGILE library for image reconstruction in biomedical sciences using graphics card hardware acceleration

Manuel Freiberger, Florian Knoll, Kristian Bredies, Hermann Scharfetter, Rudolf Stollberger
Institute of Medical Engineering, Graz University of Technology, Kronesgasse 5, A-8010 Graz, Austria
Computing in Science & Engineering, 2012

@article{freiberger2012agile,

   title={The AGILE library for image reconstruction in biomedical sciences using graphics card hardware acceleration},

   author={Freiberger, M. and Knoll, F. and Bredies, K. and Scharfetter, H. and Stollberger, R.},

   journal={Computing in Science and Engineering},

   year={2012},

   publisher={IEEE Computer Society}

}

Download Download (PDF)   View View   Source Source   Source codes Source codes

Package:

967

views

Fast image reconstruction is a critical requirement for an imaging modality to be adopted in the field of clinical and pre-clinical sciences. While programs become faster due to more powerful hardware, at the same time data size increases and the need for advanced—and often computational more demanding—reconstruction algorithms arises. A cheap way to achieve a major speed-up is to utilize modern graphics hardware capable of executing algorithms in a massively parallel manner. In this article, the open source library AGILE designed for image reconstruction in biomedical sciences is introduced. Its modular, object-oriented and templated design eases the integration of the library into user code. Furthermore, applications from the field of magnetic resonance imaging and fluorescence tomography are presented. As demonstrated, a speed-up of factor 10–30 is achievable with commodity graphics hardware for different reconstruction tasks.
No votes yet.
Please wait...

* * *

* * *

HGPU group © 2010-2017 hgpu.org

All rights belong to the respective authors

Contact us: