Applying graphics processing unit in real-time signal processing and visualization of ophthalmic Fourier-domain OCT system.
- Author:
Qiaoyan LIU
1
;
Yuejie LI
;
Qiujing XU
;
Jincheng ZHAO
;
Liwei WANG
;
Yonghe GAO
Author Information
1. Peking Union Medical College, Beijing, 100730. winfly2012@sina.com
- Publication Type:Journal Article
- MeSH:
Computer Graphics;
Image Interpretation, Computer-Assisted;
Tomography, Optical Coherence;
instrumentation;
methods
- From:
Chinese Journal of Medical Instrumentation
2013;37(1):1-5
- CountryChina
- Language:Chinese
-
Abstract:
This investigation introduces GPU (Graphics Processing Unit)- based CUDA (Compute Unified Device Architecture) technology into signal processing of ophthalmic FD-OCT (Fourier-Domain Optical Coherence Tomography) imaging system, can realize parallel data processing, using CUDA to optimize relevant operations and algorithms, in order to solve the technical bottlenecks that currently affect ophthalmic real-time imaging in OCT system. Laboratory results showed that with GPU as a general parallel computing processor, the speed of imaging data processing using GPU+CPU mode is more than dozens times faster than traditional CPU platform based serial computing and imaging mode when executing the same data processing, which reaches the clinical requirements for two dimensional real-time imaging.
