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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.
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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.
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.
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).
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.
www.clinicaltrials.gov NCT00343746 NCT00286637
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