May 2004
Volume 45, Issue 13
ARVO Annual Meeting Abstract  |   May 2004
A Comparison of Talia’s Anatomy Imager to the RTA’s Internal Analysis Software
Author Affiliations & Notes
  • R.E. Rosenbaum
    Retina Center,
    New York Eye & Ear Infirmary, NY, NY
  • R.B. Rosen
    New York Eye & Ear Infirmary, NY, NY
  • P.M. T. Garcia
    Retina Center,
    New York Eye & Ear Infirmary, NY, NY
  • Footnotes
    Commercial Relationships  R.E. Rosenbaum, None; R.B. Rosen, None; P.M.T. Garcia, None.
  • Footnotes
    Support  none
Investigative Ophthalmology & Visual Science May 2004, Vol.45, 2397. doi:
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    • Get Citation

      R.E. Rosenbaum, R.B. Rosen, P.M. T. Garcia; A Comparison of Talia’s Anatomy Imager to the RTA’s Internal Analysis Software . Invest. Ophthalmol. Vis. Sci. 2004;45(13):2397.

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

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Abstract: : Purpose:To compare Talia Visionary Diagnostic’s new Anatomy Imager (AI) (v1.04) software for the Retinal Thickness Analyzer to the original internal analysis software. Methods:A retrospective review of patients examined with both RTA (Retinal Thickness Analyzer, Talia Visionary Diagnostics, Israel), and SLO–OCT (OCT Ophthalmoscope, University of Kent, Canterbury; UK for OTI, Toronto, Canada), was performed. Forty eyes of twenty seven subjects with retinal disease were scanned with RTA and SLO–OCT. The RTA’s previously measured retinal slits analyzed with Talia’s 2D and 3D topographical thickness maps were reviewed and compared with Talia’s new voxel based AI program. AI is capable of presenting RTA slits as 3D 3x3mm images that can be cut through both horizontally and vertically; with this option it is possible to appreciate previously unappreciated retinal pathology such as macular holes, cysts, and membranes. To confirm that these newly realized findings are accurate we compared any new found pathology to SLO–OCT images obtained of the patient’s eye in the same 3 day period. Results:Between September and November 2003,forty eyes of twenty seven patients underwent testing with these modalities (SLO–OCT and RTA). Of these eyes 11 showed normal scans with Talia’s internal analysis software however when reviewed with Talia’s new AI we found 5 (45%) instances of previously unappreciated pathology. The other twenty nine eyes analyzed with Talia’s internal analysis software showed varying thickness maps for eyes with retinal pathology. When reviewed with AI 20 out of 29 eyes (69%) showed newly appreciated aspects not found on the topographical maps. Conclusions:The current internal RTA analysis software produces both 2D and 3D maps of retinal thickness with computational numerical analysis; however, it is not designed to display the fine internal detail obtained with the RTA slit images. To address this issue Talia has produced, a new voxel based program, AI that is more true to the actual measured slits. As of yet AI in its Beta version is only able to load one 3 x 3mm scan of 16 slits. However, in future versions of this program, physicians will be able to load all 5 foveal scans and make computational analysis of this data. With AI one is able to scroll through these slits and anatomically correlate retina pathology to the overlain fundus or fluoroscein image. The inclusion of AI to the RTA’s analysis software may add to the clinical utility of the instrument

Keywords: imaging/image analysis: clinical • imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) • retina 

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