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

Ophthalmology

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

5 Citations (Scopus)

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
Title of host publication	2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5646-5649
Number of pages	4
ISBN (Electronic)	9781424492718
DOIs	https://doi.org/10.1109/EMBC.2015.7319673
Publication status	Published - 4 Nov 2015
Event	37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy Duration: 25 Aug 2015 → 29 Aug 2015

Publication series

Series	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume	2015-November
ISSN	1557-170X

Conference

Conference	37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
Country/Territory	Italy
City	Milan
Period	25/08/15 → 29/08/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

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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. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 (pp. 5646-5649). Article 7319673 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2015.7319673

Novosel, Jelena ; Vermeer, Koenraad A. ; Pierrache, Laurence et al. / Method for segmentation of the layers in the outer retina. 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 5646-5649 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Vol. 2015-November).

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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.",

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.\}",

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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. in 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015., 7319673, Institute of Electrical and Electronics Engineers Inc., Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, vol. 2015-November, pp. 5646-5649, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Milan, Italy, 25/08/15. 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.
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 5646-5649 7319673 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Vol. 2015-November).

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

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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.

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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. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 5646-5649. 7319673. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Vol. 2015-November). doi: 10.1109/EMBC.2015.7319673

Method for segmentation of the layers in the outer retina

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