PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
Optical coherence tomography (OCT) revolutionized diagnostics in ophthalmology.
Traditional OCT assumes static subjects and produces artifacts during motion.
Robotically-aligned OCT mitigates these artifacts via hardware motion compensation.
However, hardware imperfections result in residual motion error.
Here we present a digital motion correction approach where we utilize synchronized sensing of the pupil and scanner components to measure the state of the imaging process over time.
We subsequently map each A-scan to its corresponding location in the volume given sensor data during its acquisition.
We demonstrate our correction in human imaging and observed 68% reduction in maximum residual axial error.
Pablo Ortiz,Amit Narawane,Ryan P. McNabb,Anthony N. Kuo M.D.,Joseph A. Izatt, andMark Draelos M.D.
"Sensor-driven digital motion correction of robotically-aligned optical coherence tomography retinal volumes", Proc. SPIE PC12367, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVII, PC123670D (9 March 2023); https://doi.org/10.1117/12.2652996
ACCESS THE FULL ARTICLE
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
Pablo Ortiz, Amit Narawane, Ryan P. McNabb, Anthony N. Kuo M.D., Joseph A. Izatt, Mark Draelos M.D., "Sensor-driven digital motion correction of robotically-aligned optical coherence tomography retinal volumes," Proc. SPIE PC12367, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVII, PC123670D (9 March 2023); https://doi.org/10.1117/12.2652996