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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