Off-axis quantitative phase imaging processing using CUDA: toward real-time applications.
Off-axis quantitative phase imaging processing using CUDA: toward real-time applications.
复制标题
DOI：
10.1364/boe.2.001781
复制
发表时间：
2011-07-01
影响因子：
3.4
通讯作者：
Popescu G
中科院分区：
文献类型：
--
作者：
Pham H;Ding H;Sobh N;Do M;Patel S;Popescu G
我们使用基于NVIDIA的CUDA编程模型的相位重建算法演示了实时离轴定量相位成像(QPI)。相位展开分量是基于Goldstein算法的。通过将提取相位信息和展开的过程映射到GPU上，整个过程相对于CPU处理速度提高了18.8倍以上，最终达到了百万像素图像的视频率。我们的CUDA实现还支持同时处理多个图像。这使我们的成像系统能够支持高速、高通量和实时图像采集和可视化。
We demonstrate real time off-axis Quantitative Phase Imaging (QPI) using a phase reconstruction algorithm based on NVIDIA’s CUDA programming model. The phase unwrapping component is based on Goldstein’s algorithm. By mapping the process of extracting phase information and unwrapping to GPU, we are able to speed up the whole procedure by more than 18.8× with respect to CPU processing and ultimately achieve video rate for mega-pixel images. Our CUDA implementation also supports processing of multiple images simultaneously. This enables our imaging system to support high speed, high throughput, and real-time image acquisition and visualization.