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Multimodal ophthalmic imaging using spectrally encoded scanning laser ophthalmoscopy and optical coherence tomography
Author(s): Mohamed T. El-Haddad; Joseph D. Malone; Jianwei D. Li; Ivan Bozic; Amber M. Arquitola; Karen M. Joos; Shriji N. Patel; Yuankai K. Tao
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Paper Abstract

Ophthalmic surgery involves manipulation of delicate, layered tissue structures on milli- to micrometer scales. Traditional surgical microscopes provide an inherently two-dimensional view of the surgical field with limited depth perception which precludes accurate depth-resolved visualization of these tissue layers, and limits the development of novel surgical techniques. We demonstrate multimodal swept-source spectrally encoded scanning laser ophthalmoscopy and optical coherence tomography (SS-SESLO-OCT) to address current limitations of image-guided ophthalmic microsurgery. SS-SESLO-OCT provides inherently co-registered en face and cross-sectional field-of-views (FOVs) at a line rate of 400 kHz and >2 GPix/s throughput. We show in vivo imaging of the anterior segment and retinal fundus of a healthy volunteer, and preliminary results of multi-volumetric mosaicking for ultrawide-field retinal imaging with 90° FOV. Additionally, a scan-head was rapid-prototyped with a modular architecture which enabled integration of SS-SESLO-OCT with traditional surgical microscope and slit-lamp imaging optics. Ex vivo surgical maneuvers were simulated in cadaveric porcine eyes. The system throughput enabled volumetric acquisition at 10 volumes-per-second (vps) and allowed visualization of surgical dynamics in corneal sweeps, compressions, and dissections, and retinal sweeps, compressions, and elevations. SESLO en face images enabled simple real-time co-registration with the surgical microscope FOV, and OCT cross-sections provided depth-resolved visualization of instrument-tissue interactions. Finally, we demonstrate novel augmented-reality integration with the surgical view using segmentation overlays to aid surgical guidance. SS-SESLO-OCT may benefit clinical diagnostics by enabling aiming, registration, and mosaicking; and intraoperative imaging by allowing for real-time surgical feedback, instrument tracking, and overlays of computationally extracted biomarkers of disease.

Paper Details

Date Published: 29 August 2017
PDF: 6 pages
Proc. SPIE 10352, Biosensing and Nanomedicine X, 1035209 (29 August 2017); doi: 10.1117/12.2275552
Show Author Affiliations
Mohamed T. El-Haddad, Vanderbilt Univ. (United States)
Joseph D. Malone, Vanderbilt Univ. (United States)
Jianwei D. Li, Vanderbilt Univ. (United States)
Ivan Bozic, Vanderbilt Univ. (United States)
Amber M. Arquitola, Vanderbilt Univ. (United States)
Karen M. Joos, Vanderbilt Univ. (United States)
Shriji N. Patel, Vanderbilt Univ. (United States)
Yuankai K. Tao, Vanderbilt Univ. (United States)


Published in SPIE Proceedings Vol. 10352:
Biosensing and Nanomedicine X
Hooman Mohseni; Massoud H. Agahi; Manijeh Razeghi, Editor(s)

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