Real-time quantitative measurement of OCT data using GPGPU

傅立叶域光学相干层析成像(FD OCT)是一种微米级的横断面成像 通常被描述为超声成像的光学模拟的技术。FD OCT正在增长 快速进入工业成像和无损检测(NDT)应用领域。的计算量 FDOCT的信号处理和图像分析是相当丰富的。FD OCT信号的采集是作为干涉测量的 数据，通过傅里叶变换转换成图像。目前，图像上的测量结果是 离线执行，限制了该技术的应用。 本研究方案的目的是研究一种结合现场可编程门阵列(Fpga)的异质计算系统。 GPGPU用于高速容积式FD OCT图像采集和实时分析，用于无损检测。我们建议 为了将FPGA硬件用于FD OCT信号处理步骤(将干涉图转换为图像数据)， 然后用GPGPU进行图像分割、定量测量提取和结果显示。 这种处理流程将重复的例程匹配到了FPGA平台上，并且更复杂的图像 分割算法和GPGPU的显示功能。下文详细描述的项目计划 将促进建立新的协作，并促进对新的异质性的调查 实时定量体积差分OCT的计算。

Fourier Domain Optical Coherence Tomography (FD OCT) is a micrometer-scale, cross-sectional imaging technology that is commonly described as an optical analogue to ultrasound imaging. FD OCT is growing rapidly into applications of industrial imaging and non-destructive testing (NDT). The computational load for FD OCT signal processing and image analysis is substantial. The FD OCT signal is acquired as interferometric data, which is converted to images via Fourier transform. Currently, measurements on the images are performed off line, limiting the applications of the technology. The purpose of this research proposal is to investigate a heterogeneous computing system combining FPGA and GPGPU for high speed volumetric FD OCT image acquisition and real-time analysis for NDT. We propose to use FPGA hardware for the FD OCT signal processing steps (converting interferograms to image data), followed by GPGPU for image segmentation, extraction of quantitative measurements, and display of results. This processing flow matches the repetitive routines to the FPGA platform, and the more complicated image segmentation algorithms and the display functions to the GPGPU. The project plan described in detail below will foster the establishment of a new collaboration, and facilitate the investigation into novel heterogeneous computing for real-time quantitative volumetric FD OCT.