Massively parallel data processing for quantitative total flow imaging with optical coherence microscopy and tomography

Abstract
We present an application of massively parallel processing of quantitative flow measurements data acquired using spectral optical coherence microscopy (SOCM). The need for massive signal processing of these particular datasets has been a major hurdle for many applications based on SOCM. In view of this difficulty, we implemented and adapted quantitative total flow estimation algorithms on graphics processing units (GPU) and achieved a 150 fold reduction in processing time when compared to a f...

Title of program: CudaOCMproc
Catalogue Id: AFBT_v1_0

Nature of problem
Speed up of data processing in optical coherence microscopy

Versions of this program held in the CPC repository in Mendeley Data
AFBT_v1_0; CudaOCMproc; 10.1016/j.cpc.2017.03.008

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)

摘要
我们报道了一种针对光谱光学相干显微镜（spectral optical coherence microscopy, SOCM）采集的定量流量测量数据的大规模并行处理应用方案。针对此类特定数据集的海量信号处理需求，一直是诸多基于SOCM的应用所面临的主要瓶颈。针对这一难题，我们在图形处理器（GPU）上实现并适配了定量总流量估计算法，相较……处理时长缩减了150倍。

程序名称：CudaOCMproc
目录编号：AFBT_v1_0

问题属性
光学相干显微镜的数据处理加速

存放在Mendeley数据平台CPC库中的该程序版本：AFBT_v1_0; CudaOCMproc; 10.1016/j.cpc.2017.03.008

本程序源自贝尔法斯特女王大学维护的CPC程序库（1969-2019）。