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Fully 3-D List-Mode OSEM Accelerated by Graphics Processing Units

Guillem Pratx, Garry Chinn, Frezghi Habte, Peter Olcott, Craig Levin
Molecular Imaging Program, Stanford, Stanford University, CA 94305 USA
IEEE Nuclear Science Symposium Conference Record, 2006

@inproceedings{pratx2006fully,

   title={Fully 3-D list-mode OSEM accelerated by graphics processing units},

   author={Pratx, G. and Chinn, G. and Habte, F. and Olcott, P. and Levin, C.},

   booktitle={Nuclear Science Symposium Conference Record, 2006. IEEE},

   volume={4},

   pages={2196–2202},

   year={2006},

   organization={IEEE}

}

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Advanced list-mode image reconstruction algorithms such as fully 3D list-mode ordered-subset expectation maximization (OSEM) are needed to exploit the potential performance of high-resolution PET systems with depth-of-interaction capabilities. However, such algorithms are computationally intensive. With the aim to accelerate list-mode 3D-OSEM, we investigated the use of graphics processing units (GPUs). Primarily designed to deliver high-definition graphics for video games in realtime, GPUs are now increasingly being used as cost-effective high-performance coprocessors for scientific computing. Parallelizable algorithms such as list-mode OSEM are drastically accelerated when the 24 programmable units of the GPU are used to carry the heaviest part of the computation: the line forward and backward projections.
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