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Simulation Techniques for Cryosurgery
The
ability to perform rapid cryosurgery
simulations on a spectrum of test cases is critical to facilitate sound
decision making associated with medical planning and training. It has been
demonstrated recently that GPU-based computation, using C++ accelerated
massive parallelism (AMP), enables simulation runtime 90 times faster than
actual cryosurgical time, as shown below. Results are shown on already five
years old machines, where actual simulation runtime is less than 2 seconds.
This achievement is based on an efficient
numerical scheme for cryosurgery simulations, which has been perfected
for variable
space intervals and time steps, using a parallelized computation
framework, and an
optimized GPU implementation.
Simulated-to-actual
cryosurgery runtime ratio, for GPU-based (optimized) and CPU-based
(parallelized and optimized) simulations on various platforms PubMed Related work: •
Experimental
verification of simulation techniques for cryosurgery •
Computerized
planning of cryosurgery •
Computerized
training tools for cryosurgery Selected publications: •
Keelan, R.,
Zhang, H., Shimada, K., Rabin, Y. (2016): GPU-based bioheat simulation to
facilitate rapid decision making associated with cryosurgery training,
Technology in Cancer Research and Treatment 15(2): 377-386 PubMed, HHS Public
Access, Sage •
Keelan, R.,
Shimada, K., Rabin, Y. (2015): GPU-based simulation of ultrasound imaging
artifacts for cryosurgery training, Technology in Cancer Research and
Treatment, 16(1):5–14 PubMed, HHS Public
Access, Sage •
Keelan, R.,
Yamakawa, S., Shimada, K., Rabin, Y. (2013):
Computerized Training of cryosurgery – a system approach, CryoLetters
34(4):324-337 PubMed,
HHS Public
Access •
Rossi,
M.R., Tanaka, D., Shimada, K., Rabin, Y. (2007): An efficient numerical technique
for bioheat simulations and its application to computerized cryosurgery
planning. Computer Methods and Programs in Biomedicine, 85(1):41-50 PubMed, HHS Public
Access, BTTL
Depository •
Rabin, Y.,
Shitzer, A. (1998): Numerical solution of the multidimensional freezing problem
during cryosurgery. ASME Journal of Biomechanical Engineering, 120(1):32-37 PubMed, ASME
Digital Collection, BTTL
Depository
This
research is supported, in part, by the National Cancer Institute, NIH Grant #
1R01CA134261 |
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