Segmentation of intra-retinal layers in 3D optic nerve head images

Chuang Wang; Yaxing Wang; Djibril Kaba; Haogang Zhu; You Lv; Zidong Wang; Xiaohui Liu; Yongmin Li

doi:10.1007/978-3-319-21969-1_28

Segmentation of intra-retinal layers in 3D optic nerve head images

Chuang Wang^*
, Yaxing Wang
, Djibril Kaba
, Haogang Zhu
, You Lv
, Zidong Wang
, Xiaohui Liu
, Yongmin Li

^*Corresponding author for this work

Brunel University London
Capital Medical University
Moorfields Eye Hospital NHS Foundation Trust
Nanjing University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

Spectral-Domain Optical Coherence Tomography (SD-OCT) is a non-invasive imaging modality, which provides retinal structures with unprecedented detail in 3D. In this paper, we propose an automated segmentation method to detect intra-retinal layers in SD-OCT images around optic nerve head acquired from a high resolution RTVue-100 SDOCT (Optovue, Fremont, CA, USA). This method starts by removing all the OCT imaging artifacts including the speckle noise and enhancing the contrast between layers using the 3D nonlinear anisotropic. Afterwards, we combine the level set method, k-means and MRF method to segment three intra-retinal layers around optical nerve head. The segmentation results show that our method can effectively delineate the surfaces of the retinal tissues in the noisy 3D optic nerve head images. The signed and unsigned significant differences between the segmentation results and the ground truth over optic nerve head B-scans are 1.01±1.13 and 1.93±2.21.

Original language	English
Title of host publication	Image and Graphics - 8th International Conference, ICIG 2015, Proceedings, Part III
Editors	Yu-Jin Zhang
Publisher	Springer Verlag
Pages	321-332
Number of pages	12
ISBN (Print)	9783319219684
DOIs	https://doi.org/10.1007/978-3-319-21969-1_28
State	Published - 2015
Externally published	Yes
Event	8th International Conference on Image and Graphics, ICIG 2015 - Tianjin, China Duration: 13 Aug 2015 → 16 Aug 2015

Publication series

Name	Lecture Notes in Computer Science
Volume	9219
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	8th International Conference on Image and Graphics, ICIG 2015
Country/Territory	China
City	Tianjin
Period	13/08/15 → 16/08/15

Access to Document

10.1007/978-3-319-21969-1_28

Cite this

Wang, C., Wang, Y., Kaba, D., Zhu, H., Lv, Y., Wang, Z., Liu, X., & Li, Y. (2015). Segmentation of intra-retinal layers in 3D optic nerve head images. In Y.-J. Zhang (Ed.), Image and Graphics - 8th International Conference, ICIG 2015, Proceedings, Part III (pp. 321-332). (Lecture Notes in Computer Science; Vol. 9219). Springer Verlag. https://doi.org/10.1007/978-3-319-21969-1_28

@inproceedings{04930e075b504903930a5bd4a879585a,

title = "Segmentation of intra-retinal layers in 3D optic nerve head images",

abstract = "Spectral-Domain Optical Coherence Tomography (SD-OCT) is a non-invasive imaging modality, which provides retinal structures with unprecedented detail in 3D. In this paper, we propose an automated segmentation method to detect intra-retinal layers in SD-OCT images around optic nerve head acquired from a high resolution RTVue-100 SDOCT (Optovue, Fremont, CA, USA). This method starts by removing all the OCT imaging artifacts including the speckle noise and enhancing the contrast between layers using the 3D nonlinear anisotropic. Afterwards, we combine the level set method, k-means and MRF method to segment three intra-retinal layers around optical nerve head. The segmentation results show that our method can effectively delineate the surfaces of the retinal tissues in the noisy 3D optic nerve head images. The signed and unsigned significant differences between the segmentation results and the ground truth over optic nerve head B-scans are 1.01±1.13 and 1.93±2.21.",

author = "Chuang Wang and Yaxing Wang and Djibril Kaba and Haogang Zhu and You Lv and Zidong Wang and Xiaohui Liu and Yongmin Li",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015; 8th International Conference on Image and Graphics, ICIG 2015 ; Conference date: 13-08-2015 Through 16-08-2015",

year = "2015",

doi = "10.1007/978-3-319-21969-1\_28",

language = "英语",

isbn = "9783319219684",

series = "Lecture Notes in Computer Science",

publisher = "Springer Verlag",

pages = "321--332",

editor = "Yu-Jin Zhang",

booktitle = "Image and Graphics - 8th International Conference, ICIG 2015, Proceedings, Part III",

address = "德国",

}

Wang, C, Wang, Y, Kaba, D, Zhu, H, Lv, Y, Wang, Z, Liu, X & Li, Y 2015, Segmentation of intra-retinal layers in 3D optic nerve head images. in Y-J Zhang (ed.), Image and Graphics - 8th International Conference, ICIG 2015, Proceedings, Part III. Lecture Notes in Computer Science, vol. 9219, Springer Verlag, pp. 321-332, 8th International Conference on Image and Graphics, ICIG 2015, Tianjin, China, 13/08/15. https://doi.org/10.1007/978-3-319-21969-1_28

Segmentation of intra-retinal layers in 3D optic nerve head images. / Wang, Chuang; Wang, Yaxing; Kaba, Djibril et al.
Image and Graphics - 8th International Conference, ICIG 2015, Proceedings, Part III. ed. / Yu-Jin Zhang. Springer Verlag, 2015. p. 321-332 (Lecture Notes in Computer Science; Vol. 9219).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Segmentation of intra-retinal layers in 3D optic nerve head images

AU - Wang, Chuang

AU - Wang, Yaxing

AU - Kaba, Djibril

AU - Zhu, Haogang

AU - Lv, You

AU - Wang, Zidong

AU - Liu, Xiaohui

AU - Li, Yongmin

PY - 2015

Y1 - 2015

N2 - Spectral-Domain Optical Coherence Tomography (SD-OCT) is a non-invasive imaging modality, which provides retinal structures with unprecedented detail in 3D. In this paper, we propose an automated segmentation method to detect intra-retinal layers in SD-OCT images around optic nerve head acquired from a high resolution RTVue-100 SDOCT (Optovue, Fremont, CA, USA). This method starts by removing all the OCT imaging artifacts including the speckle noise and enhancing the contrast between layers using the 3D nonlinear anisotropic. Afterwards, we combine the level set method, k-means and MRF method to segment three intra-retinal layers around optical nerve head. The segmentation results show that our method can effectively delineate the surfaces of the retinal tissues in the noisy 3D optic nerve head images. The signed and unsigned significant differences between the segmentation results and the ground truth over optic nerve head B-scans are 1.01±1.13 and 1.93±2.21.

AB - Spectral-Domain Optical Coherence Tomography (SD-OCT) is a non-invasive imaging modality, which provides retinal structures with unprecedented detail in 3D. In this paper, we propose an automated segmentation method to detect intra-retinal layers in SD-OCT images around optic nerve head acquired from a high resolution RTVue-100 SDOCT (Optovue, Fremont, CA, USA). This method starts by removing all the OCT imaging artifacts including the speckle noise and enhancing the contrast between layers using the 3D nonlinear anisotropic. Afterwards, we combine the level set method, k-means and MRF method to segment three intra-retinal layers around optical nerve head. The segmentation results show that our method can effectively delineate the surfaces of the retinal tissues in the noisy 3D optic nerve head images. The signed and unsigned significant differences between the segmentation results and the ground truth over optic nerve head B-scans are 1.01±1.13 and 1.93±2.21.

UR - https://www.scopus.com/pages/publications/84943646894

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SN - 9783319219684

T3 - Lecture Notes in Computer Science

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BT - Image and Graphics - 8th International Conference, ICIG 2015, Proceedings, Part III

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PB - Springer Verlag

T2 - 8th International Conference on Image and Graphics, ICIG 2015

Y2 - 13 August 2015 through 16 August 2015

ER -

Segmentation of intra-retinal layers in 3D optic nerve head images

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