光电工程, 2016, 43 (6): 83, 网络出版: 2016-07-26
GPU加速的高精度位移估计方法及超声弹性成像应用
GPU-accelerated Sub-sample Displacement Estimation Method for Real-time Ultrasound Elastography
超声弹性成像 运动追踪 子采样位移估计 图形处理器 ultrasound elastography motion tracking sub-sample displacement estimation GPU CUDA CUDA
摘要
高精度的位移估计方法对提高超声弹性成像的质量非常重要。在本研究中，通过英伟达公司的 CUDA架构实现了一种新颖的可以同时提高轴向和横向运动估计精确度的位移估计方法在 GPU上的高效并行计算。对比于原始方法在 C Mex编译条件下的实现， GPU实现的方法显示最多可实现 76X的加速，同时保持了较高的位移估计精度。
Abstract
Highly accurate displacement estimation method is critical for Ultrasound Elastography. In this study, a novel sub-sample displacement estimation algorithm where axial and lateral motion estimates are simultaneously performed to enhance the accuracy of motion tracking the proposed method has been implemented in CUDA. Compared to the original C Mex (MATLAB VERSION 2014B, Mathswork Inc., MA, USA) implementation, the GPU implementation showed a factor of 70+ acceleration while maintaining the excellent motion tracking accuracy.
彭博, 黄丽. GPU加速的高精度位移估计方法及超声弹性成像应用[J]. 光电工程, 2016, 43(6): 83. PENG Bo, HUANG Li. GPU-accelerated Sub-sample Displacement Estimation Method for Real-time Ultrasound Elastography[J]. Opto-Electronic Engineering, 2016, 43(6): 83.
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