Automated lamina cribrosa microstructural segmentation in optical coherence tomography scans of healthy and glaucomatous eyes

Zach Nadler; Bo Wang; Gadi Wollstein; Jessica E. Nevins; Hiroshi Ishikawa; Larry Kagemann; Ian A. Sigal; R. Daniel Ferguson; Daniel X. Hammer; Ireneusz Grulkowski; Jonathan J. Liu; Martin F. Kraus; Chen D. Lu; Joachim Hornegger; James G. Fujimoto; Joel S. Schuman

doi:10.1364/BOE.4.002596

Automated lamina cribrosa microstructural segmentation in optical coherence tomography scans of healthy and glaucomatous eyes

Zach Nadler, Bo Wang, Gadi Wollstein, Jessica E. Nevins, Hiroshi Ishikawa, Larry Kagemann, Ian A. Sigal, R. Daniel Ferguson, Daniel X. Hammer, Ireneusz Grulkowski, Jonathan J. Liu, Martin F. Kraus, Chen D. Lu, Joachim Hornegger, James G. Fujimoto, Joel S. Schuman

Biomedical Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

We demonstrate an automated segmentation method for in-vivo 3D optical coherence tomography (OCT) imaging of the lamina cribrosa (LC). Manual segmentations of coronal slices of the LC were used as a gold standard in parameter selection and evaluation of the automated technique. The method was validated using two prototype OCT devices; each had a subject cohort including both healthy and glaucomatous eyes. Automated segmentation of in-vivo 3D LC OCT microstructure performed comparably to manual segmentation and is useful for investigative research and in clinical quantification of the LC.

Original language	English (US)
Pages (from-to)	2596-2608
Number of pages	13
Journal	Biomedical Optics Express
Volume	4
Issue number	11
DOIs	https://doi.org/10.1364/BOE.4.002596
State	Published - Nov 1 2013

ASJC Scopus subject areas

Biotechnology
Atomic and Molecular Physics, and Optics

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Nadler, Z., Wang, B., Wollstein, G., Nevins, J. E., Ishikawa, H., Kagemann, L., Sigal, I. A., Daniel Ferguson, R., Hammer, D. X., Grulkowski, I., Liu, J. J., Kraus, M. F., Lu, C. D., Hornegger, J., Fujimoto, J. G., & Schuman, J. S. (2013). Automated lamina cribrosa microstructural segmentation in optical coherence tomography scans of healthy and glaucomatous eyes. Biomedical Optics Express, 4(11), 2596-2608. https://doi.org/10.1364/BOE.4.002596

Nadler, Z, Wang, B, Wollstein, G, Nevins, JE, Ishikawa, H, Kagemann, L, Sigal, IA, Daniel Ferguson, R, Hammer, DX, Grulkowski, I, Liu, JJ, Kraus, MF, Lu, CD, Hornegger, J, Fujimoto, JG & Schuman, JS 2013, 'Automated lamina cribrosa microstructural segmentation in optical coherence tomography scans of healthy and glaucomatous eyes', Biomedical Optics Express, vol. 4, no. 11, pp. 2596-2608. https://doi.org/10.1364/BOE.4.002596

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abstract = "We demonstrate an automated segmentation method for in-vivo 3D optical coherence tomography (OCT) imaging of the lamina cribrosa (LC). Manual segmentations of coronal slices of the LC were used as a gold standard in parameter selection and evaluation of the automated technique. The method was validated using two prototype OCT devices; each had a subject cohort including both healthy and glaucomatous eyes. Automated segmentation of in-vivo 3D LC OCT microstructure performed comparably to manual segmentation and is useful for investigative research and in clinical quantification of the LC.",

author = "Zach Nadler and Bo Wang and Gadi Wollstein and Nevins, {Jessica E.} and Hiroshi Ishikawa and Larry Kagemann and Sigal, {Ian A.} and {Daniel Ferguson}, R. and Hammer, {Daniel X.} and Ireneusz Grulkowski and Liu, {Jonathan J.} and Kraus, {Martin F.} and Lu, {Chen D.} and Joachim Hornegger and Fujimoto, {James G.} and Schuman, {Joel S.}",

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AU - Ishikawa, Hiroshi

AU - Kagemann, Larry

AU - Sigal, Ian A.

AU - Daniel Ferguson, R.

AU - Hammer, Daniel X.

AU - Grulkowski, Ireneusz

AU - Liu, Jonathan J.

AU - Kraus, Martin F.

AU - Lu, Chen D.

AU - Hornegger, Joachim

AU - Fujimoto, James G.

AU - Schuman, Joel S.

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AB - We demonstrate an automated segmentation method for in-vivo 3D optical coherence tomography (OCT) imaging of the lamina cribrosa (LC). Manual segmentations of coronal slices of the LC were used as a gold standard in parameter selection and evaluation of the automated technique. The method was validated using two prototype OCT devices; each had a subject cohort including both healthy and glaucomatous eyes. Automated segmentation of in-vivo 3D LC OCT microstructure performed comparably to manual segmentation and is useful for investigative research and in clinical quantification of the LC.

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Automated lamina cribrosa microstructural segmentation in optical coherence tomography scans of healthy and glaucomatous eyes

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