Epidermal segmentation in high-definition optical coherence tomography

Annan Li; Jun Cheng; Ai Ping Yow; Carolin Wall; Damon Wing Kee Wong; Hong Liang Tey; Jiang Liu

doi:10.1109/EMBC.2015.7319034

Epidermal segmentation in high-definition optical coherence tomography

Annan Li
, Jun Cheng
, Ai Ping Yow
, Carolin Wall
, Damon Wing Kee Wong
, Hong Liang Tey
, Jiang Liu

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

32 Citations (Scopus)

Abstract

Epidermis segmentation is a crucial step in many dermatological applications. Recently, high-definition optical coherence tomography (HD-OCT) has been developed and applied to imaging subsurface skin tissues. In this paper, a novel epidermis segmentation method using HD-OCT is proposed in which the epidermis is segmented by 3 steps: the weighted least square-based pre-processing, the graph-based skin surface detection and the local integral projection-based dermal-epidermal junction detection respectively. Using a dataset of five 3D volumes, we found that this method correlates well with the conventional method of manually marking out the epidermis. This method can therefore serve to effectively and rapidly delineate the epidermis for study and clinical management of skin diseases.

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	3045-3048
Number of pages	4
ISBN (Electronic)	9781424492718
DOIs	https://doi.org/10.1109/EMBC.2015.7319034
Publication status	Published - 4 Nov 2015
Externally published	Yes
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

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume	2015-November
ISSN (Print)	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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Access to Document

10.1109/EMBC.2015.7319034

Cite this

Li, A., Cheng, J., Yow, A. P., Wall, C., Wong, D. W. K., Tey, H. L., & Liu, J. (2015). Epidermal segmentation in high-definition optical coherence tomography. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 (pp. 3045-3048). Article 7319034 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2015-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2015.7319034

Li, Annan ; Cheng, Jun ; Yow, Ai Ping et al. / Epidermal segmentation in high-definition optical coherence tomography. 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. 3045-3048 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

@inproceedings{32385f105d0549808498ef5ed28baf62,

title = "Epidermal segmentation in high-definition optical coherence tomography",

abstract = "Epidermis segmentation is a crucial step in many dermatological applications. Recently, high-definition optical coherence tomography (HD-OCT) has been developed and applied to imaging subsurface skin tissues. In this paper, a novel epidermis segmentation method using HD-OCT is proposed in which the epidermis is segmented by 3 steps: the weighted least square-based pre-processing, the graph-based skin surface detection and the local integral projection-based dermal-epidermal junction detection respectively. Using a dataset of five 3D volumes, we found that this method correlates well with the conventional method of manually marking out the epidermis. This method can therefore serve to effectively and rapidly delineate the epidermis for study and clinical management of skin diseases.",

author = "Annan Li and Jun Cheng and Yow, \{Ai Ping\} and Carolin Wall and Wong, \{Damon Wing Kee\} and Tey, \{Hong Liang\} and Jiang Liu",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 ; Conference date: 25-08-2015 Through 29-08-2015",

year = "2015",

month = nov,

day = "4",

doi = "10.1109/EMBC.2015.7319034",

language = "English",

series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "3045--3048",

booktitle = "2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015",

address = "United States",

}

Li, A, Cheng, J, Yow, AP, Wall, C, Wong, DWK, Tey, HL & Liu, J 2015, Epidermal segmentation in high-definition optical coherence tomography. in 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015., 7319034, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, vol. 2015-November, Institute of Electrical and Electronics Engineers Inc., pp. 3045-3048, 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.2015.7319034

Epidermal segmentation in high-definition optical coherence tomography. / Li, Annan; Cheng, Jun; Yow, Ai Ping 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. 3045-3048 7319034 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2015-November).

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

TY - GEN

T1 - Epidermal segmentation in high-definition optical coherence tomography

AU - Li, Annan

AU - Cheng, Jun

AU - Yow, Ai Ping

AU - Wall, Carolin

AU - Wong, Damon Wing Kee

AU - Tey, Hong Liang

AU - Liu, Jiang

PY - 2015/11/4

Y1 - 2015/11/4

N2 - Epidermis segmentation is a crucial step in many dermatological applications. Recently, high-definition optical coherence tomography (HD-OCT) has been developed and applied to imaging subsurface skin tissues. In this paper, a novel epidermis segmentation method using HD-OCT is proposed in which the epidermis is segmented by 3 steps: the weighted least square-based pre-processing, the graph-based skin surface detection and the local integral projection-based dermal-epidermal junction detection respectively. Using a dataset of five 3D volumes, we found that this method correlates well with the conventional method of manually marking out the epidermis. This method can therefore serve to effectively and rapidly delineate the epidermis for study and clinical management of skin diseases.

AB - Epidermis segmentation is a crucial step in many dermatological applications. Recently, high-definition optical coherence tomography (HD-OCT) has been developed and applied to imaging subsurface skin tissues. In this paper, a novel epidermis segmentation method using HD-OCT is proposed in which the epidermis is segmented by 3 steps: the weighted least square-based pre-processing, the graph-based skin surface detection and the local integral projection-based dermal-epidermal junction detection respectively. Using a dataset of five 3D volumes, we found that this method correlates well with the conventional method of manually marking out the epidermis. This method can therefore serve to effectively and rapidly delineate the epidermis for study and clinical management of skin diseases.

UR - https://www.scopus.com/pages/publications/84953341752

U2 - 10.1109/EMBC.2015.7319034

DO - 10.1109/EMBC.2015.7319034

M3 - Conference contribution

C2 - 26736934

AN - SCOPUS:84953341752

T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

SP - 3045

EP - 3048

BT - 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015

Y2 - 25 August 2015 through 29 August 2015

ER -

Li A, Cheng J, Yow AP, Wall C, Wong DWK, Tey HL et al. Epidermal segmentation in high-definition optical coherence tomography. 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. 3045-3048. 7319034. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/EMBC.2015.7319034

Epidermal segmentation in high-definition optical coherence tomography

Abstract

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Conference

UN SDGs

ASJC Scopus subject areas

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