Accelerating motion-compensated adaptive color Doppler engine on CUDA-based GPU platform.
Journal
IEEE Workshop on Signal Processing Systems, SiPS 2013, Taipei City, Taiwan, October 16-18, 2013
Pages
1-6
Date Issued
2013
Author(s)
Abstract
Color Doppler imaging is used to observe the blood flow distribution during doctor's diagnosis. However, the desired blood signal is greatly affected by clutter noise and probe motions. In previous works, a color Doppler engine was proposed consisting algorithms which can effectively eliminate clutter noises and motion artifacts. Since a large number of data and computations are involved, the color Doppler engine cannot achieve real-time imaging on CPU-based PCs. Therefore, we accelerate the color Doppler engine by parallelizing the executions on many-core GPU. In this work, we explore the parallelism and data locality of the motion-compensated color Doppler algorithms, and implement it on CUDA-based GPU platform. The speedup can be up to 55.5 by using the proposed design methodology.
Type
conference paper