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

M Mujat; RC Chan; B Cense; BH Park; C Joo; T Akkin; TC Chen; JF de Boer

doi:10.1364/OPEX.13.009480

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

M Mujat, RC Chan, B Cense, BH Park, C Joo, T Akkin, TC Chen, JF de Boer

School of Engineering

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

157 Citations (Scopus)

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 m and a depth range of 1.6 mm. Areas of 9.6x6.4 mm(2) and 6.4x6.4 mm(2) 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. (c) 2005 Optical Society of America.

Original language	English
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
Publication status	Published - 14 Nov 2005

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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 m and a depth range of 1.6 mm. Areas of 9.6x6.4 mm(2) and 6.4x6.4 mm(2) 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. (c) 2005 Optical Society of America.",

keywords = "HIGH-SPEED, SPECTRAL INTERFEROMETRY, DISPERSION COMPENSATION, ULTRAHIGH-RESOLUTION, TEMPORAL RAPHE, ALGORITHM, SNAKES, EYES",

author = "M Mujat and RC Chan and B Cense and BH Park and C Joo and T Akkin and TC Chen and {de Boer}, JF",

year = "2005",

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doi = "10.1364/OPEX.13.009480",

language = "English",

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journal = "Optics Express",

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

AU - Mujat, M

AU - Chan, RC

AU - Cense, B

AU - Park, BH

AU - Joo, C

AU - Akkin, T

AU - Chen, TC

AU - de Boer, JF

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 m and a depth range of 1.6 mm. Areas of 9.6x6.4 mm(2) and 6.4x6.4 mm(2) 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. (c) 2005 Optical Society of America.

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 m and a depth range of 1.6 mm. Areas of 9.6x6.4 mm(2) and 6.4x6.4 mm(2) 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. (c) 2005 Optical Society of America.

KW - HIGH-SPEED

KW - SPECTRAL INTERFEROMETRY

KW - DISPERSION COMPENSATION

KW - ULTRAHIGH-RESOLUTION

KW - TEMPORAL RAPHE

KW - ALGORITHM

KW - SNAKES

KW - EYES

U2 - 10.1364/OPEX.13.009480

DO - 10.1364/OPEX.13.009480

M3 - Article

SN - 1094-4087

VL - 13

SP - 9480

EP - 9491

JO - Optics Express

JF - Optics Express

IS - 23

ER -

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

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