June 2013
Volume 54, Issue 15
Free
ARVO Annual Meeting Abstract  |   June 2013
Swept Source OCT imaging of limbal and sclera vessels in vivo using speckle variance detection
Author Affiliations & Notes
  • Kevin Sitko
    Ophthalmology, New England Eye Center-Tufts Medical Center, Boston, MA
  • Al-Hafeez Dhalla
    Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA
  • Jonathan Liu
    Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA
  • Ireneusz Grulkowski
    Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA
  • Chen Lu
    Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA
  • James Fujimoto
    Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA
  • Yuankai Tao
    Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA
  • Jay Duker
    Ophthalmology, New England Eye Center-Tufts Medical Center, Boston, MA
  • Chandrasekharan Krishnan
    Ophthalmology, New England Eye Center-Tufts Medical Center, Boston, MA
  • Footnotes
    Commercial Relationships Kevin Sitko, None; Al-Hafeez Dhalla, Bioptigen (P); Jonathan Liu, None; Ireneusz Grulkowski, None; Chen Lu, None; James Fujimoto, Carl Zeiss Meditec (P), Optovue (P), Optovue (I); Yuankai Tao, None; Jay Duker, Carl Zeiss Meditech (F), OptoVue (F), Optos (C); Chandrasekharan Krishnan, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2013, Vol.54, 33. doi:https://doi.org/
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    • Get Citation

      Kevin Sitko, Al-Hafeez Dhalla, Jonathan Liu, Ireneusz Grulkowski, Chen Lu, James Fujimoto, Yuankai Tao, Jay Duker, Chandrasekharan Krishnan; Swept Source OCT imaging of limbal and sclera vessels in vivo using speckle variance detection. Invest. Ophthalmol. Vis. Sci. 2013;54(15):33. doi: https://doi.org/.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract
 
Purpose
 

To demonstrate in vivo imaging of limbal and scleral blood vessels using Swept Source Optical Coherence Tomography and speckle variance processing.

 
Methods
 

Patients with different anterior eye pathologies were imaged at the New England Eye Center using a prototype 1050 nm swept source OCT with 6um axial resolution and 100kHz axial scan speed. Volumetric raster scans (consisting of 200 x 200 A-scans x 3 repeated B-scans) were obtained over a 3 mm x 3 mm area of sclera located just posterior to the horizontal and vertical limbus. Visualization of blood vessels was enhanced using “speckle variance”, an acquisition and processing technique wherein repeated B-scans are acquired, and the deccorelation of speckle patterns over these repeated B-scans is calculated. After correcting for bulk motion, remaining motion due to blood flow results in increased variance of speckle patterns, enabling visualization of small vessels that are not discernible using standard structural imaging.

 
Results
 

Using speckle variance OCT at 1050nm, high quality en face imaging of the limbal and sclera vessels was achieved, with superior visualization of vasculature compared with standard structural images.

 
Conclusions
 

Swept source OCT with speckle variance processing enhances the ability to image limbal and sclera vessels. This has potential use in identifying and monitoring various ischemic and inflammatory ocular diseases in which the limbal vasculature is involved.

 
 
Standard en face OCT image from volume.
 
Standard en face OCT image from volume.
 
 
En face OCT with speckle variance processing.
 
En face OCT with speckle variance processing.
 
Keywords: 552 imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) • 421 anterior segment • 550 imaging/image analysis: clinical  
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