Real-time adaptive-optics optical coherence tomography (AOOCT) image reconstruction on a GPU

Adaptive-optics optical coherence tomography (AOOCT) is a technology that has been rapidly advancing in recent years and offers amazing capabilities in scanning the human eye in vivo. In order to bring the ultra-high resolution capabilities to clinical use, however, newer technology needs to be used in the image reconstruction process. General purpose computation on graphics processing units is one such way that this computationally intensive reconstruction can be performed in a desktop computer in real-time. This work shows the process of AOOCT image reconstruction, the basics of how to use NVIDIA's CUDA to write parallel code, and a new AOOCT image reconstruction technology implemented using NVIDIA's CUDA. The results of this work demonstrate that image reconstruction can be done in real-time with high accuracy using a GPU.

Author dc:creator

• Shafer, Brandon Andrew

Advisor dc:contributor.advisor

• Eberhart, Russell C.

• Adaptive-optics
• GPU
• Parallel Processing
• OCT
• Optical Coherence Tomography
• Image Reconstruction

Statement dc:rights

• Attribution-NonCommercial-NoDerivs 3.0 United States

Licence dc:rights.uri

• http://creativecommons.org/licenses/by-nc-nd/3.0/us/

Language dc:language.iso

en_US

Identifier URI

http://dx.doi.org/10.7912/C2/2512

OAI identifier oai:identifier

oai:scholarworks.indianapolis.iu.edu:1805/6105