April 2010
Volume 51, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2010
Normalization of Time Domain Optical Coherence Tomography (TD-OCT) Retinal Nerve Fiber Layer (RNFL) Thickness Measurements at Variable Scan Locations to a Virtual Universal Center Location Using Three-Dimensional (3D) Spectral Domain (SD-) OCT Data
Author Affiliations & Notes
  • 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
  • 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. Xu
    UPMC Eye Center, Eye & Ear Institute, Ophthalmology and Visual Science Research Center, Dept. Ophthalmology, U. Pittsburgh School of Medicine, 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
  • R. A. Bilonick
    UPMC Eye Center, Eye & Ear Institute, Ophthalmology and Visual Science Research Center, Dept. Ophthalmology, U. Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
    Dept. Biostatistics, U. Pittsburgh Graduate School of Public Health,, 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
  • 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  J. Kim, None; H. Ishikawa, Bioptigen, Inc., P; J. Xu, Bioptigen, Inc., P; G. Wollstein, Carl Zeiss Meditec, Inc., F; Optovue, F; Bioptigen, Inc., P; R.A. Bilonick, None; L. Kagemann, None; J.S. Schuman, Bioptigen, P; Carl Zeiss Meditec, Inc., P; Carl Zeiss Meditec, Inc., R; Heidelberg Engineering, R; Pfizer, R.
  • Footnotes
    Support  NIH RO1-EY013178, RO1-EY013516, P30-EY008098; Eye and Ear Foundation (Pittsburgh, PA); Research to Prevent Blindness.
Investigative Ophthalmology & Visual Science April 2010, Vol.51, 211. doi:https://doi.org/
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      J. Kim, H. Ishikawa, J. Xu, G. Wollstein, R. A. Bilonick, L. Kagemann, J. S. Schuman; Normalization of Time Domain Optical Coherence Tomography (TD-OCT) Retinal Nerve Fiber Layer (RNFL) Thickness Measurements at Variable Scan Locations to a Virtual Universal Center Location Using Three-Dimensional (3D) Spectral Domain (SD-) OCT Data. Invest. Ophthalmol. Vis. Sci. 2010;51(13):211. doi: https://doi.org/.

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

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Abstract
 
Purpose:
 

To develop and test a method of normalizing TD-OCT RNFL thickness measurements obtained at variable scan locations to a virtual universal center location using a retinal nerve fiber bundle distribution (RNFBD) pattern detected on the corresponding 3D SD-OCT images.

 
Methods:
 

Twelve eyes of 12 healthy subjects and 7 eyes of 7 glaucoma subjects were enrolled. A set of nine TD-OCT (Stratus OCT; Carl Zeiss Meditec, Inc., Dublin, CA (CZMI)) circumpapillary scans (one centered and 8 intentionally off-centered) were obtained for each eye. One 3D SD-OCT (Cirrus HD-OCT; CZMI) optic nerve head cube scan was also obtained at the same visit. RNFBD pattern was modeled by detecting the major RNFBD curvatures (one for each in superior and inferior hemi-field) on a SD-OCT cube data for each eye. RNFL thickness measurements from off-centered TD-OCT scans were normalized by using the modeled RNFBD pattern and the matched scan location within the corresponding SD-OCT cube data. Algorithm performance was assessed by comparing global and sectoral RNFL thickness measurement imprecisions with and without normalization.

 
Results:
 

RNFL thickness measurement imprecision was statistically significantly lower with normalization than without in all sectors except for global mean (Figure).

 
Conclusions:
 

The developed normalization method reduced the RNFL thickness measurement variability caused by variable scan locations. This method may be useful for longitudinal glaucoma progression analysis.  

 
Keywords: imaging/image analysis: clinical • image processing • computational modeling 
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