Acceleration of OCT image processing by using hash table method for logarithm scaling (Conference Presentation)

Optical coherence tomography (OCT) has been widely used in clinic studies due to the capability to provide high resolution cross sectional images in biological tissue. To achieve real-time imaging display, Graphics Processing Unit (GPU) acceleration is usually used in data processing including Fast Fourier Transform, linearization in k space, and logarithm scaling, however, with additional cost and requirement of complex coding tools such as CUDA. In this paper，a hash table method is used to accelerate the computing speed of logarithm scaling without GPU. For original logarithm scaling in C library, the procession time for an A-line with 2048 points is approximately 10 times longer than this optimized method. A swept source OCT was employed to test this method and the results demonstrated that a high speed real-time OCT imaging display can be achieved with this low cost method.