September 2016
Volume 57, Issue 12
Open Access
ARVO Annual Meeting Abstract  |   September 2016
Compartmentalization of intraretinal empty spaces in MacTel by SS OCT
Author Affiliations & Notes
  • Pascal W. Hasler
    Eye Clinic, University Hospital Basel, Arlesheim, Switzerland
  • Cyrill Gyger
    Eye Clinic, University Hospital Basel, Arlesheim, Switzerland
  • Peter Maloca
    Eye Clinic, University Hospital Basel, Arlesheim, Switzerland
  • Footnotes
    Commercial Relationships   Pascal Hasler, Novartis (C), Roche (C), Zeiss (C); Cyrill Gyger, Denoising (P); Peter Maloca, Denoising (P), Novartis (C), Roche (C), Topcon (C), Zeiss (C)
  • Footnotes
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Investigative Ophthalmology & Visual Science September 2016, Vol.57, 4249. doi:
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    • Get Citation

      Pascal W. Hasler, Cyrill Gyger, Peter Maloca; Compartmentalization of intraretinal empty spaces in MacTel by SS OCT. Invest. Ophthalmol. Vis. Sci. 2016;57(12):4249.

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

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Abstract

Purpose : Intraretinal changes in MacTel are predominantly empty spaces in the foveal and perifoveal region. We describe and assess these lesions by 3D optical coherence tomography reconstruction.

Methods : 4 eyes (2 patients) with MacTel were imaged using SS-OCT (Topcon DRI SSOCT-1 Atlantis) system to obtain volumetric images of the macula (6x6mm, 256 images). A prototype denoising analysis software was applied and compartmentalization and quantification with 3D reconstruction of intraretinal empty space was performed by semi-automatic segmentation of speckle-noise freed OCT volumes.

Results : 4 eyes of 2 male MacTel patients were investigated. Mean volume 15'837.8 (range 6206-29'230) and mean surface of the empty spaces was 4891.9 (range 3411-9578), respectively. A 3D reconstruction of the lesion was assessed.

Conclusions : Speckle-noise freed OCT may serve as a new illustrative imaging technology. It can be used for compartmentalization and quantification intraretinal lesions such as empty spaces in MacTel.

This is an abstract that was submitted for the 2016 ARVO Annual Meeting, held in Seattle, Wash., May 1-5, 2016.

 

 

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