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Real time volumetric region of interest tracking for sensorless adaptive optics retinal imaging
Author(s): Daniel J. Wahl; Ringo Ng; Joey Huang; Worawee Janpongsri; Marinko V. Sarunic; Yifan Jian
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Paper Abstract

Sensorless Adaptive Optics (SAO) allows easy integration of adaptive optics in retina imaging systems, however the iterative nature of the SAO optimization process requires long time to perform aberration correction and the inevitable subject motion during the optimization could compromise the AO correction. Here we present a multi-modal SAO retina imaging system that includes Optical Coherence Tomography (OCT), OCT-Angiography, confocal Scanning Laser Ophthalmoscopy (cSLO), and fluorescence detection. To mitigate the motion artifact and increase the SAO performance, we developed volumetric image tracking to extract merit function of SAO only within the region of interests.

Paper Details

Date Published: 19 July 2019
PDF: 3 pages
Proc. SPIE 11078, Optical Coherence Imaging Techniques and Imaging in Scattering Media III, 110780L (19 July 2019); doi: 10.1117/12.2527518
Show Author Affiliations
Daniel J. Wahl, Simon Fraser Univ. (Canada)
Ringo Ng, Simon Fraser Univ. (Canada)
Joey Huang, Simon Fraser Univ. (Canada)
Worawee Janpongsri, Simon Fraser Univ. (Canada)
Marinko V. Sarunic, Simon Fraser Univ. (Canada)
Yifan Jian, Oregon Health & Science Univ. (United States)


Published in SPIE Proceedings Vol. 11078:
Optical Coherence Imaging Techniques and Imaging in Scattering Media III
Maciej Wojtkowski; Stephen A. Boppart; Wang-Yuhl Oh, Editor(s)

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