Retinal nerve fiber layer thickness map determined from optical coherence tomography images

Mircea Mujat; Raymond C. Chan; Barry Cense; B. Hyle Park; Chulmin Joo; Taner Akkin; Teresa C. Chen; Johannes F. De Boer

doi:10.1364/OPEX.13.009480

Retinal nerve fiber layer thickness map determined from optical coherence tomography images

Mircea Mujat, Raymond C. Chan, Barry Cense, B. Hyle Park, Chulmin Joo, Taner Akkin, Teresa C. Chen, Johannes F. De Boer

Biomedical Engineering

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159 Scopus citations

Abstract

We introduce a method to determine the retinal nerve fiber layer (RNFL) thickness in OCT images based on anisotropic noise suppression and deformable splines. Spectral-Domain Optical Coherence Tomography (SDOCT) data was acquired at 29 kHz A-line rate with a depth resolution of 2.6 μm and a depth range of 1.6 mm. Areas of 9.6×6.4 mm² and 6.4×6.4 mm² were acquired in approximately 6 seconds. The deformable spline algorithm determined the vitreous-RNFL and RNFL-ganglion cell/inner plexiform layer boundary, respectively, based on changes in the reflectivity, resulting in a quantitative estimation of the RNFL thickness. The thickness map was combined with an integrated reflectance map of the retina and a typical OCT movie to facilitate clinical interpretation of the OCT data. Large area maps of RNFL thickness will permit better longitudinal evaluation of RNFL thinning in glaucoma.

Original language	English (US)
Pages (from-to)	9480-9491
Number of pages	12
Journal	Optics Express
Volume	13
Issue number	23
DOIs	https://doi.org/10.1364/OPEX.13.009480
State	Published - Nov 14 2005

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@article{06ce8cc88d014b2490cc08e4f8f0b5b8,

title = "Retinal nerve fiber layer thickness map determined from optical coherence tomography images",

abstract = "We introduce a method to determine the retinal nerve fiber layer (RNFL) thickness in OCT images based on anisotropic noise suppression and deformable splines. Spectral-Domain Optical Coherence Tomography (SDOCT) data was acquired at 29 kHz A-line rate with a depth resolution of 2.6 μm and a depth range of 1.6 mm. Areas of 9.6×6.4 mm2 and 6.4×6.4 mm2 were acquired in approximately 6 seconds. The deformable spline algorithm determined the vitreous-RNFL and RNFL-ganglion cell/inner plexiform layer boundary, respectively, based on changes in the reflectivity, resulting in a quantitative estimation of the RNFL thickness. The thickness map was combined with an integrated reflectance map of the retina and a typical OCT movie to facilitate clinical interpretation of the OCT data. Large area maps of RNFL thickness will permit better longitudinal evaluation of RNFL thinning in glaucoma.",

author = "Mircea Mujat and Chan, {Raymond C.} and Barry Cense and Park, {B. Hyle} and Chulmin Joo and Taner Akkin and Chen, {Teresa C.} and {De Boer}, {Johannes F.}",

year = "2005",

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doi = "10.1364/OPEX.13.009480",

language = "English (US)",

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T1 - Retinal nerve fiber layer thickness map determined from optical coherence tomography images

AU - Mujat, Mircea

AU - Chan, Raymond C.

AU - Cense, Barry

AU - Park, B. Hyle

AU - Joo, Chulmin

AU - Akkin, Taner

AU - Chen, Teresa C.

AU - De Boer, Johannes F.

PY - 2005/11/14

Y1 - 2005/11/14

N2 - We introduce a method to determine the retinal nerve fiber layer (RNFL) thickness in OCT images based on anisotropic noise suppression and deformable splines. Spectral-Domain Optical Coherence Tomography (SDOCT) data was acquired at 29 kHz A-line rate with a depth resolution of 2.6 μm and a depth range of 1.6 mm. Areas of 9.6×6.4 mm2 and 6.4×6.4 mm2 were acquired in approximately 6 seconds. The deformable spline algorithm determined the vitreous-RNFL and RNFL-ganglion cell/inner plexiform layer boundary, respectively, based on changes in the reflectivity, resulting in a quantitative estimation of the RNFL thickness. The thickness map was combined with an integrated reflectance map of the retina and a typical OCT movie to facilitate clinical interpretation of the OCT data. Large area maps of RNFL thickness will permit better longitudinal evaluation of RNFL thinning in glaucoma.

AB - We introduce a method to determine the retinal nerve fiber layer (RNFL) thickness in OCT images based on anisotropic noise suppression and deformable splines. Spectral-Domain Optical Coherence Tomography (SDOCT) data was acquired at 29 kHz A-line rate with a depth resolution of 2.6 μm and a depth range of 1.6 mm. Areas of 9.6×6.4 mm2 and 6.4×6.4 mm2 were acquired in approximately 6 seconds. The deformable spline algorithm determined the vitreous-RNFL and RNFL-ganglion cell/inner plexiform layer boundary, respectively, based on changes in the reflectivity, resulting in a quantitative estimation of the RNFL thickness. The thickness map was combined with an integrated reflectance map of the retina and a typical OCT movie to facilitate clinical interpretation of the OCT data. Large area maps of RNFL thickness will permit better longitudinal evaluation of RNFL thinning in glaucoma.

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Retinal nerve fiber layer thickness map determined from optical coherence tomography images

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