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Abstract #3715

Real-time multi-parametric thermal therapy monitoring: GPU versus CPU

Christopher MacLellan 1,2 , David Fuentes 1,2 , Florian Maier 1 , Wolfgang Stefan 1 , John D. Hazle 1,2 , and R. Jason Stafford 1,2

1 Department of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, Texas, United States, 2 Medical Physics Program, University of Texas Graduate School of Biomedical Sciences at Houston, Houston, Texas, United States

Monitoring thermal ablation procedures using multi-parametric MRI is primarily limited by post-processing time. Parallel GPU and CPU architectures were implemented to evaluate the feasibility of real time monitoring using a Prony algorithm and an iterative Steiglitz-McBride algorithm. Computation time decreased by roughly one order of magnitude for parallel CPU and two orders of magnitude for GPU. Both architectures finish processing in the time required to obtain one image. The Steiglitz-McBride algorithm showed greater accuracy at low SNR and should be implemented on GPU in the future.

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