High speed parallel processing of biomedical optics data with PC graphic hardware

In the field of biomedical optics, many approaches need to process tremendous data set using complicated algorithms, which cause heavy computation and limit their applications in the real-time conditions, such as clinical diagnoses and therapy. In this paper, we present and review several successful applications using GPU (graphic processing unit) to accelerate the processing of biomedical optics data including image processing, Monte Carlo simulation, image reconstruction and statistics analysis. It is shown that GPU are proved to obtain significant performance improvement in contrast with the traditional used methods based on CPU calculation.