Data Processing And Three-Dimensional Reconstruction Based On Optical Coherence Tomography

Optical Coherence Tomography(OCT)is a high-resolution in-vivo medical imaging technology that plays an important role in medical diagnosis.With the development of hardware technology,especially the rapid development of broadband light source technology,the Time Domain OCT(TD-OCT)has been gradually replaced by the Fourier Domain OCT(FD-OCT).Compared to TD-OCT,the FD-OCT imaging speed is faster,which imposes higher requirements on the process speed of OCT data.And in order to better observe the tissue structure and lesion location,3D imaging technology based on 2D slice images has also become a hot research topic.This paper was based on the research of swept source optical coherence tomography imaging system for 1310 nm.The main contents of this paper included parallel data processing,3D imaging technology and 3D debouncing of retinal images.1.The method of OCT data processing was introduced based on the basic principle of sweep light source OCT(SS-OCT).Moreover,the parallel processing program of OCT data based on CUDA 7.0 was completed,and the data processing on the CPU was performed.Compared to CPU processing,the data processing speed had been greatly improved.It taken 60 ms to process a frame of image on the GTX 540 graphics card,34 ms on the GTX 1050 ti graphics card,and about 200 ms on the CPU.2.The basic principle of the ray casting algorithm was studied based on the principle of three-dimensional imaging of computer.The VS2013+Qt5.5+OpenGL was used as a tool to realize 3D imaging of the OCT system based on the ray casting algorithm under windows7,the real-time 3D imaging based on the existing OCT data,the real-time transparency adjustment,threshold adjustment and cross-section and slicing of real-time 3D image.Additionally,OCT 3D imaging software was also completed.3.After completing the 3D reconstruction of the retina fundus,we found that there was jitter between the 2D image frames and frames of the retina.This phenomenon was mainly due to heartbeat and body irregularities in the body tissues during signal acquisition.We found that the retina of the human eye presented a spherical shape by observing the retina tissue structure of the human eye.According to this main feature,the 2D image of the retina was subjected to boundary extraction and curve fitting of the boundary data.Thus,the 3D jitter of the retina image could have been significantly reduced.