June 2013
Volume 54, Issue 15
Free
ARVO Annual Meeting Abstract  |   June 2013
Handheld MEMS-based Optical Coherence Tomography in Anterior and Posterior Segment Diagnosis
Author Affiliations & Notes
  • Samir Sayegh
    Anterior Segment & Vitreoretinal Surg, The Eye Center/The Retina Center, Champaign, IL
  • Jessica Taibl
    Anterior Segment & Vitreoretinal Surg, The Eye Center/The Retina Center, Champaign, IL
  • Woongyu Jung
    School of Nano-Bioscience and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST) School of Nano-Bioscience and Chemical Engineering, Ulsan, Republic of Korea
  • Daniel McCormick
    AdvancedMEMS, San Francisco,, USA Minor Outlying Islands
  • Ryan Shelton
    Beckman Institute for Advanced Science and Technology, University of Illinois, Champaign, IL
  • Ryan Nolan
    Beckman Institute for Advanced Science and Technology, University of Illinois, Champaign, IL
  • Stephen Boppart
    Beckman Institute for Advanced Science and Technology, University of Illinois, Champaign, IL
  • Footnotes
    Commercial Relationships Samir Sayegh, None; Jessica Taibl, None; Woongyu Jung, None; Daniel McCormick, None; Ryan Shelton, None; Ryan Nolan, None; Stephen Boppart, Diagnostic Photonics, Inc. (F), Welch Allyn, Inc. (C), Texas Instruments, Inc. (R)
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2013, Vol.54, 1487. doi:
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    • Get Citation

      Samir Sayegh, Jessica Taibl, Woongyu Jung, Daniel McCormick, Ryan Shelton, Ryan Nolan, Stephen Boppart; Handheld MEMS-based Optical Coherence Tomography in Anterior and Posterior Segment Diagnosis. Invest. Ophthalmol. Vis. Sci. 2013;54(15):1487.

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

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Abstract

Purpose: To demonstrate the feasibility of a novel hand held OCT micro-optics, and microelectromechanical systems (MEMS) scanner in ocular condition diagnosis for both specialized ophthalmic diagnosis and primary care screening.

Methods: A MEMS based OCT system is used to acquire images of the retina and of the cornea in normal and in patients with patholgies including diabetic and non diabetic retinal edema as well as post LASIK cornea. The images and their diagnostic value are compared to those obtained by that of a commercial Fourier domain OCT system routinely used in the same clinic.

Results: The major features that are useful for reaching a diagnosis and guiding therapeutic management are identified by both systems for both anterior and posterior segment conditions. These features include cystic edema and vitreomacular traction in patients with diabetes or uveitis, as well as characteristics of the corneal flap post LASIK.

Conclusions: We have demonstrated the ability of our handheld MEMS-based OCT system to be used as an effective diagnostic tool for both the anterior and posterior segment. This opens the possibility of effective diagnosis and screening in the ophthalmic specialty clinic as well as the primary care setting.

Keywords: 585 macula/fovea • 682 refractive surgery: other technologies • 499 diabetic retinopathy  
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