Benchmark test of accelerated multi-slice simulation by GPGPU
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Updated: Apr 6, 2026

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
Published on: January 15, 2022
Fumio Hosokawa1, Takao Shinkawa1, Yoshihiro Arai2
1BioNet Ltd, 2-3-28 Nishikityo, Tachikawa, Tokyo, Japan.
Abstract:
A fast multi-slice image simulation by parallelized computation using a graphics processing unit (GPU) has been developed. The image simulation contains multiple sets of computing steps, such as Fourier transform and pixel-to-pixel operation. The efficiency of GPU varies depending on the type of calculation. In the effective case of utilizing GPU, the calculation speed is conducted hundreds of times faster than a central processing unit (CPU). The benchmark test of parallelized multi-slice was performed, and the results of contents, such as TEM imaging, STEM imaging and CBD calculation are reported. Some features of the simulation software are also introduced.
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