Towards real-time wavefront sensorless adaptive optics using a graphical processing unit (GPU) in a line scanning system

David P. Biss; Ankit H. Patel; R. Daniel Ferguson; Mircea Mujat; Nicusor Iftimia; Daniel X. Hammer

doi:10.1117/12.876645

16 February 2011 Towards real-time wavefront sensorless adaptive optics using a graphical processing unit (GPU) in a line scanning system

David P. Biss, Ankit H. Patel, R. Daniel Ferguson, Mircea Mujat, Nicusor Iftimia, Daniel X. Hammer

Author Affiliations +

Proceedings Volume 7885, Ophthalmic Technologies XXI; 788516 (2011) https://doi.org/10.1117/12.876645
Event: SPIE BiOS, 2011, San Francisco, California, United States

Abstract

Adaptive optics ophthalmic imaging systems that rely on a standalone wave-front sensor can be costly to build and difficult for non-technical personnel to operate. As an alternative we present a simplified wavefront sensorless adaptive optics laser scanning ophthalmoscope. This sensorless system is based on deterministic search algorithms that utilize the image's spatial frequency as an optimization metric. We implement this algorithm on a NVIDIA video card to take advantage of the graphics processing unit (GPU)'s parallel architecture to reduce algorithm computation times and approach real-time correction.

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David P. Biss, Ankit H. Patel, R. Daniel Ferguson, Mircea Mujat, Nicusor Iftimia, and Daniel X. Hammer "Towards real-time wavefront sensorless adaptive optics using a graphical processing unit (GPU) in a line scanning system", Proc. SPIE 7885, Ophthalmic Technologies XXI, 788516 (16 February 2011); https://doi.org/10.1117/12.876645

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