Paper
10 February 2007 Three-dimensional tracker for spectral domain optical coherence tomography
Author Affiliations +
Abstract
Spectral domain optical coherence tomography (SDOCT) is a relatively new imaging technique that allows high-speed cross-sectional scanning of retinal structures with little motion artifact. However, instrumentation for these systems is not yet fast enough to collect high-density three-dimensional retinal maps free of the adverse effects of lateral eye movements. Low coherence interferometry instruments must also contend with axial motion primarily from head movements that shift the target tissue out of the coherence detection range. Traditional SDOCT instruments suffer from inherent deficiencies that exacerbate the effect of depth motion, including limited range, depth-dependent signal attenuation, and complex conjugate overlap. We present initial results on extension of our transverse retinal tracking system to three-dimensions especially for SDOCT imagers. The design and principle of operation of two depth tracking techniques, adaptive ranging (AR) and Doppler velocity (DV) tracking, are presented. We have integrated the threedimensional tracking hardware into a hybrid line scanning laser ophthalmoscope (LSLO)/SDOCT imaging system. Imaging and tracking performance was characterized by tests involving a limited number of human subjects. The hybrid imager could switch between wide-field en-face confocal LSLO images, high-resolution cross-sectional OCT images, and an interleaved mode of sequential LSLO and OCT images. With 3-D tracking, the RMS error for axial motion decreased to <50 µm and for lateral motion decreased to <10 µm. The development of real-time tracking and SDOCT image processing hardware is also discussed. Future implementation of 3-D tracking should increase the yield of usable images and decrease the patient measurement time for clinical SDOCT systems.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel X. Hammer, Nicusor V. Iftimia, Chad E. Bigelow, Teoman E. Ustun, Benjamin Bloom, R. Daniel Ferguson, and Thomas E. Milner "Three-dimensional tracker for spectral domain optical coherence tomography", Proc. SPIE 6429, Coherence Domain Optical Methods and Optical Coherence Tomography in Biomedicine XI, 642913 (10 February 2007); https://doi.org/10.1117/12.704663
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KEYWORDS
Optical coherence tomography

Image processing

Imaging systems

Autoregressive models

3D image processing

Eye

Sensors

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