Real-time quantitative measurement of OCT data using GPGPU

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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.