May 2008
Volume 49, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2008
Spectral Domain OCT Image Enhancement With Segmentation-Free Contour Modeling C-Mode
Author Affiliations & Notes
  • H. Ishikawa
    UPMC Eye Center, Eye & Ear Institute, Ophthalmology and Visual Science Research Center, Dept. Ophthalmology, U. Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
    Dept. Bioengineering, Swanson School of Engineering, U. Pittsburgh, Pittsburgh, Pennsylvania
  • J. Kim
    UPMC Eye Center, Eye & Ear Institute, Ophthalmology and Visual Science Research Center, Dept. Ophthalmology, U. Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
    Dept. Bioengineering, Swanson School of Engineering, U. Pittsburgh, Pittsburgh, Pennsylvania
  • T. R. Friberg
    UPMC Eye Center, Eye & Ear Institute, Ophthalmology and Visual Science Research Center, Dept. Ophthalmology, U. Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
    Dept. Bioengineering, Swanson School of Engineering, U. Pittsburgh, Pittsburgh, Pennsylvania
  • G. Wollstein
    UPMC Eye Center, Eye & Ear Institute, Ophthalmology and Visual Science Research Center, Dept. Ophthalmology, U. Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
  • L. Kagemann
    UPMC Eye Center, Eye & Ear Institute, Ophthalmology and Visual Science Research Center, Dept. Ophthalmology, U. Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
    Dept. Bioengineering, Swanson School of Engineering, U. Pittsburgh, Pittsburgh, Pennsylvania
  • M. L. Gabriele
    UPMC Eye Center, Eye & Ear Institute, Ophthalmology and Visual Science Research Center, Dept. Ophthalmology, U. Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
    Dept. Bioengineering, Swanson School of Engineering, U. Pittsburgh, Pittsburgh, Pennsylvania
  • K. A. Townsend
    UPMC Eye Center, Eye & Ear Institute, Ophthalmology and Visual Science Research Center, Dept. Ophthalmology, U. Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
  • J. S. Duker
    Tufts-New England Medical Center, Dept. Ophthalmology, Tufts University School of Medicine, Boston, Massachusetts
  • J. G. Fujimoto
    Dept. of Electrical Engineering and Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts
  • J. S. Schuman
    UPMC Eye Center, Eye & Ear Institute, Ophthalmology and Visual Science Research Center, Dept. Ophthalmology, U. Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
    Dept. Bioengineering, Swanson School of Engineering, U. Pittsburgh, Pittsburgh, Pennsylvania
  • Footnotes
    Commercial Relationships  H. Ishikawa, None; J. Kim, None; T.R. Friberg, None; G. Wollstein, Carl Zeiss Meditec, Inc., F; Optovue, F; L. Kagemann, None; M.L. Gabriele, None; K.A. Townsend, None; J.S. Duker, None; J.G. Fujimoto, Optovue, F; Carl Zeiss Meditec, Inc., P; J.S. Schuman, Merck, R; Alcon, F; Allergan, F; Heidelberg Engineering, R; Optovue, R; Carl Zeiss Meditec, Inc., F; Merck, F; Heidelberg Engineering, F; Optovue, F; Carl Zeiss Meditec, Inc., P; Alcon, R; Carl Zeiss Meditec, Inc., R; Allergan, R.
  • Footnotes
    Support  NIH R01-EY013178-8, R01-EY011289-22, P30-EY008098; AFOSR FA9550-040-1-0011; NSF BES-0522845; Eye and Ear Foundation (Pittsburgh, PA); Research to Prevent Blindness
Investigative Ophthalmology & Visual Science May 2008, Vol.49, 1886. doi:https://doi.org/
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    • Get Citation

      H. Ishikawa, J. Kim, T. R. Friberg, G. Wollstein, L. Kagemann, M. L. Gabriele, K. A. Townsend, J. S. Duker, J. G. Fujimoto, J. S. Schuman; Spectral Domain OCT Image Enhancement With Segmentation-Free Contour Modeling C-Mode. Invest. Ophthalmol. Vis. Sci. 2008;49(13):1886. doi: https://doi.org/.

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

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Abstract
 
Purpose:
 

To develop a semi-automated method to visualize structures of interest (SoI) along their contour within three-dimensional spectral domain optical coherence tomography (3D SDOCT) data, without the need of segmentation.

 
Methods:
 

Using two SDOCT devices (an ultrahigh resolution prototype of our own design and Cirrus OCT (Carl Zeiss Meditec, Dublin, CA)), we obtained 3D SDOCT data within 6x6x1.4 mm and 6x6x2 mm volumes (respectively) centered at the fovea in healthy eyes and eyes with various retinal pathologies. C-mode images were generated by sampling a variable thickness plane semi-automatically modeled to fit the contour of the SoI. Unlike the published and commercialized methods, the proposed contour modeling did not require retinal layer segmentation, which is known to fail frequently in the presence of retinal pathology. Four different SoIs were visualized for healthy eyes: striation of retinal nerve fibers (RNF), retinal capillary network (RCN), choroidal capillary network (CCN), and major choroidal vasculatures (CV). In addition, various SoIs were visualized for eyes with retinal pathologies.

 
Results:
 

Seven healthy eyes and 7 eyes with retinal pathologies (cystoid macular edema, central serous retinopathy, vitreo-retinal traction, and age-related macular degeneration) were imaged. CCN and CV were successfully visualized in all eyes, while RNF and RCN were visualized in 100% of healthy eyes, 42.8% of eyes with pathologies. Various SoIs were successfully visualized in all eyes with retinal pathologies (Figure).

 
Conclusions:
 

The proposed contour modeling C-mode may provide clinically useful images of SoIs even in eyes with severe pathologic changes in which segmentation algorithms fail.  

 
Clinical Trial:
 

www.clinicaltrials.gov NCT00343746 NCT00286637

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