Li Zhang1, Gabriëlle H S Buitendijk2, Kyungmoo Lee1, Milan Sonka3, Henriët Springelkamp2, Albert Hofman4, Johannes R Vingerling2, Robert F Mullins5, Caroline C W Klaver2, Michael D Abràmoff6. 1. Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, United States. 2. Department of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands 3Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands. 3. Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, United States 4Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and Clinics, Iowa City, Iowa, United States. 4. Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands 5Netherlands Consortium for Healthy Aging, Netherlands Genomics Initiative, The Hague, The Netherlands. 5. Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and Clinics, Iowa City, Iowa, United States 6Stephen Wynn Institute for Vision Research, University of Iowa, Iowa City, Iowa, United States. 6. Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, United States 4Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and Clinics, Iowa City, Iowa, United States 6Stephen Wynn Institute for Vi.
Abstract
PURPOSE: To evaluate the validity of a novel fully automated three-dimensional (3D) method capable of segmenting the choroid from two different optical coherence tomography scanners: swept-source OCT (SS-OCT) and spectral-domain OCT (SD-OCT). METHODS: One hundred eight subjects were imaged using SS-OCT and SD-OCT. A 3D method was used to segment the choroid and quantify the choroidal thickness along each A-scan. The segmented choroidal posterior boundary was evaluated by comparing to manual segmentation. Differences were assessed to test the agreement between segmentation results of the same subject. Choroidal thickness was defined as the Euclidian distance between Bruch's membrane and the choroidal posterior boundary, and reproducibility was analyzed using automatically and manually determined choroidal thicknesses. RESULTS: For SS-OCT, the average choroidal thickness of the entire 6- by 6-mm2 macular region was 219.5 μm (95% confidence interval [CI], 204.9-234.2 μm), and for SD-OCT it was 209.5 μm (95% CI, 197.9-221.0 μm). The agreement between automated and manual segmentations was high: Average relative difference was less than 5 μm, and average absolute difference was less than 15 μm. Reproducibility of choroidal thickness between repeated SS-OCT scans was high (coefficient of variation [CV] of 3.3%, intraclass correlation coefficient [ICC] of 0.98), and differences between SS-OCT and SD-OCT results were small (CV of 11.0%, ICC of 0.73). CONCLUSIONS: We have developed a fully automated 3D method for segmenting the choroid and quantifying choroidal thickness along each A-scan. The method yielded high validity. Our method can be used reliably to study local choroidal changes and may improve the diagnosis and management of patients with ocular diseases in which the choroid is affected.
PURPOSE: To evaluate the validity of a novel fully automated three-dimensional (3D) method capable of segmenting the choroid from two different optical coherence tomography scanners: swept-source OCT (SS-OCT) and spectral-domain OCT (SD-OCT). METHODS: One hundred eight subjects were imaged using SS-OCT and SD-OCT. A 3D method was used to segment the choroid and quantify the choroidal thickness along each A-scan. The segmented choroidal posterior boundary was evaluated by comparing to manual segmentation. Differences were assessed to test the agreement between segmentation results of the same subject. Choroidal thickness was defined as the Euclidian distance between Bruch's membrane and the choroidal posterior boundary, and reproducibility was analyzed using automatically and manually determined choroidal thicknesses. RESULTS: For SS-OCT, the average choroidal thickness of the entire 6- by 6-mm2 macular region was 219.5 μm (95% confidence interval [CI], 204.9-234.2 μm), and for SD-OCT it was 209.5 μm (95% CI, 197.9-221.0 μm). The agreement between automated and manual segmentations was high: Average relative difference was less than 5 μm, and average absolute difference was less than 15 μm. Reproducibility of choroidal thickness between repeated SS-OCT scans was high (coefficient of variation [CV] of 3.3%, intraclass correlation coefficient [ICC] of 0.98), and differences between SS-OCT and SD-OCT results were small (CV of 11.0%, ICC of 0.73). CONCLUSIONS: We have developed a fully automated 3D method for segmenting the choroid and quantifying choroidal thickness along each A-scan. The method yielded high validity. Our method can be used reliably to study local choroidal changes and may improve the diagnosis and management of patients with ocular diseases in which the choroid is affected.
Authors: Yin Yin; Xiangmin Zhang; Rachel Williams; Xiaodong Wu; Donald D Anderson; Milan Sonka Journal: IEEE Trans Med Imaging Date: 2010-07-19 Impact factor: 10.048
Authors: Albert Hofman; Sarwa Darwish Murad; Cornelia M van Duijn; Oscar H Franco; André Goedegebure; M Arfan Ikram; Caroline C W Klaver; Tamar E C Nijsten; Robin P Peeters; Bruno H Ch Stricker; Henning W Tiemeier; André G Uitterlinden; Meike W Vernooij Journal: Eur J Epidemiol Date: 2013-11-21 Impact factor: 8.082
Authors: Xinjian Chen; Meindert Niemeijer; Li Zhang; Kyungmoo Lee; Michael D Abramoff; Milan Sonka Journal: IEEE Trans Med Imaging Date: 2012-03-19 Impact factor: 10.048
Authors: Ana-Maria Philip; Bianca S Gerendas; Li Zhang; Henrik Faatz; Dominika Podkowinski; Hrvoje Bogunovic; Michael D Abramoff; Michael Hagmann; Roland Leitner; Christian Simader; Milan Sonka; Sebastian M Waldstein; Ursula Schmidt-Erfurth Journal: Br J Ophthalmol Date: 2016-01-14 Impact factor: 4.638