Method for segmentation of the layers in the outer retina

Jelena Novosel; Koenraad A Vermeer; Laurence Pierrache; Caroline C W Klaver; L I van den Born; Lucas J van Vliet

doi:10.1109/EMBC.2015.7319673

Method for segmentation of the layers in the outer retina

Jelena Novosel, Koenraad A Vermeer, Laurence Pierrache, Caroline C W Klaver, L I van den Born, Lucas J van Vliet

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper presents a method to determine the number of visible layers in the outer retina and perform segmentation. Each layer in the outer retina is represented by a Gaussian function, and multiple models with a different number of layers are used to form the outer retina. Parameters of competing models are calculated by using maximum likelihood estimation after which the model that best describes the data is selected. Model selection is based on the goodness of fit and model complexity thereby ensuring that the model that best represents the data is chosen. The method was applied to in-vivo macular images of human retinas acquired by optical coherence tomography after conversion to attenuation coefficients. Examples of detected number of visible layers and corresponding segmentation results are shown in both normal and retinitis pigmentosa affected retinas.

Original language	English
Pages (from-to)	5646-9
Number of pages	4
Journal	Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
Volume	2015
DOIs	https://doi.org/10.1109/EMBC.2015.7319673
Publication status	Published - Aug 2015

Keywords

Humans
Likelihood Functions
Retina
Retinitis Pigmentosa
Tomography, Optical Coherence

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10.1109/EMBC.2015.7319673

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Novosel, J., Vermeer, K. A., Pierrache, L., Klaver, C. C. W., van den Born, L. I., & van Vliet, L. J. (2015). Method for segmentation of the layers in the outer retina. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2015, 5646-9. https://doi.org/10.1109/EMBC.2015.7319673

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title = "Method for segmentation of the layers in the outer retina",

abstract = "This paper presents a method to determine the number of visible layers in the outer retina and perform segmentation. Each layer in the outer retina is represented by a Gaussian function, and multiple models with a different number of layers are used to form the outer retina. Parameters of competing models are calculated by using maximum likelihood estimation after which the model that best describes the data is selected. Model selection is based on the goodness of fit and model complexity thereby ensuring that the model that best represents the data is chosen. The method was applied to in-vivo macular images of human retinas acquired by optical coherence tomography after conversion to attenuation coefficients. Examples of detected number of visible layers and corresponding segmentation results are shown in both normal and retinitis pigmentosa affected retinas.",

keywords = "Humans, Likelihood Functions, Retina, Retinitis Pigmentosa, Tomography, Optical Coherence",

author = "Jelena Novosel and Vermeer, {Koenraad A} and Laurence Pierrache and Klaver, {Caroline C W} and {van den Born}, {L I} and {van Vliet}, {Lucas J}",

year = "2015",

month = aug,

doi = "10.1109/EMBC.2015.7319673",

language = "English",

volume = "2015",

pages = "5646--9",

}

Novosel, J, Vermeer, KA, Pierrache, L, Klaver, CCW, van den Born, LI & van Vliet, LJ 2015, 'Method for segmentation of the layers in the outer retina', Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, vol. 2015, pp. 5646-9. https://doi.org/10.1109/EMBC.2015.7319673

Method for segmentation of the layers in the outer retina. / Novosel, Jelena; Vermeer, Koenraad A; Pierrache, Laurence et al.

In: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, Vol. 2015, 08.2015, p. 5646-9.

Research output: Contribution to journal › Conference article › peer-review

TY - JOUR

T1 - Method for segmentation of the layers in the outer retina

AU - Novosel, Jelena

AU - Vermeer, Koenraad A

AU - Pierrache, Laurence

AU - Klaver, Caroline C W

AU - van den Born, L I

AU - van Vliet, Lucas J

PY - 2015/8

Y1 - 2015/8

N2 - This paper presents a method to determine the number of visible layers in the outer retina and perform segmentation. Each layer in the outer retina is represented by a Gaussian function, and multiple models with a different number of layers are used to form the outer retina. Parameters of competing models are calculated by using maximum likelihood estimation after which the model that best describes the data is selected. Model selection is based on the goodness of fit and model complexity thereby ensuring that the model that best represents the data is chosen. The method was applied to in-vivo macular images of human retinas acquired by optical coherence tomography after conversion to attenuation coefficients. Examples of detected number of visible layers and corresponding segmentation results are shown in both normal and retinitis pigmentosa affected retinas.

AB - This paper presents a method to determine the number of visible layers in the outer retina and perform segmentation. Each layer in the outer retina is represented by a Gaussian function, and multiple models with a different number of layers are used to form the outer retina. Parameters of competing models are calculated by using maximum likelihood estimation after which the model that best describes the data is selected. Model selection is based on the goodness of fit and model complexity thereby ensuring that the model that best represents the data is chosen. The method was applied to in-vivo macular images of human retinas acquired by optical coherence tomography after conversion to attenuation coefficients. Examples of detected number of visible layers and corresponding segmentation results are shown in both normal and retinitis pigmentosa affected retinas.

KW - Humans

KW - Likelihood Functions

KW - Retina

KW - Retinitis Pigmentosa

KW - Tomography, Optical Coherence

U2 - 10.1109/EMBC.2015.7319673

DO - 10.1109/EMBC.2015.7319673

M3 - Conference article

C2 - 26737573

VL - 2015

SP - 5646

EP - 5649

ER -

Novosel J, Vermeer KA, Pierrache L, Klaver CCW, van den Born LI, van Vliet LJ. Method for segmentation of the layers in the outer retina. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference. 2015 Aug;2015:5646-9. doi: 10.1109/EMBC.2015.7319673

Method for segmentation of the layers in the outer retina

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Keywords

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