Automated in vivo 3D high-definition optical coherence tomography skin analysis system

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

doi:10.1109/EMBC.2016.7591579

Automated in vivo 3D high-definition optical coherence tomography skin analysis system

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

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

11 Citations (Scopus)

Abstract

The in vivo assessment and visualization of skin structures can be performed through the use of high resolution optical coherence tomography imaging, also known as HD-OCT. However, the manual assessment of such images can be exhaustive and time consuming. In this paper, we present an analysis system to automatically identify and quantify the skin characteristics such as the topography of the surface of the skin and thickness of the epidermis in HD-OCT images. Comparison of this system with manual clinical measurements demonstrated its potential for automatic objective skin analysis and diseases diagnosis. To our knowledge, this is the first report of an automated system to process and analyse HD-OCT skin images.

Original language	English
Title of host publication	2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3895-3898
Number of pages	4
ISBN (Electronic)	9781457702204
DOIs	https://doi.org/10.1109/EMBC.2016.7591579
Publication status	Published - 13 Oct 2016
Externally published	Yes
Event	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States Duration: 16 Aug 2016 → 20 Aug 2016

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume	2016-October
ISSN (Print)	1557-170X

Conference

Conference	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
Country/Territory	United States
City	Orlando
Period	16/08/16 → 20/08/16

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.2016.7591579

Cite this

Yow, A. P., Cheng, J., Li, A., Srivastava, R., Liu, J., Wong, D. W. K., & Tey, H. L. (2016). Automated in vivo 3D high-definition optical coherence tomography skin analysis system. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 (pp. 3895-3898). Article 7591579 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2016-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2016.7591579

Yow, Ai Ping ; Cheng, Jun ; Li, Annan et al. / Automated in vivo 3D high-definition optical coherence tomography skin analysis system. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 3895-3898 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

@inproceedings{fb4aef3270ee4945b1eaf322e53bb7ab,

title = "Automated in vivo 3D high-definition optical coherence tomography skin analysis system",

abstract = "The in vivo assessment and visualization of skin structures can be performed through the use of high resolution optical coherence tomography imaging, also known as HD-OCT. However, the manual assessment of such images can be exhaustive and time consuming. In this paper, we present an analysis system to automatically identify and quantify the skin characteristics such as the topography of the surface of the skin and thickness of the epidermis in HD-OCT images. Comparison of this system with manual clinical measurements demonstrated its potential for automatic objective skin analysis and diseases diagnosis. To our knowledge, this is the first report of an automated system to process and analyse HD-OCT skin images.",

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

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 ; Conference date: 16-08-2016 Through 20-08-2016",

year = "2016",

month = oct,

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doi = "10.1109/EMBC.2016.7591579",

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.",

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booktitle = "2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016",

address = "United States",

}

Yow, AP, Cheng, J, Li, A, Srivastava, R, Liu, J, Wong, DWK & Tey, HL 2016, Automated in vivo 3D high-definition optical coherence tomography skin analysis system. in 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016., 7591579, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, vol. 2016-October, Institute of Electrical and Electronics Engineers Inc., pp. 3895-3898, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, Orlando, United States, 16/08/16. https://doi.org/10.1109/EMBC.2016.7591579

Automated in vivo 3D high-definition optical coherence tomography skin analysis system. / Yow, Ai Ping; Cheng, Jun; Li, Annan et al.
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 3895-3898 7591579 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2016-October).

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

TY - GEN

T1 - Automated in vivo 3D high-definition optical coherence tomography skin analysis system

AU - Yow, Ai Ping

AU - Cheng, Jun

AU - Li, Annan

AU - Srivastava, Ruchir

AU - Liu, Jiang

AU - Wong, Damon Wing Kee

AU - Tey, Hong Liang

PY - 2016/10/13

Y1 - 2016/10/13

N2 - The in vivo assessment and visualization of skin structures can be performed through the use of high resolution optical coherence tomography imaging, also known as HD-OCT. However, the manual assessment of such images can be exhaustive and time consuming. In this paper, we present an analysis system to automatically identify and quantify the skin characteristics such as the topography of the surface of the skin and thickness of the epidermis in HD-OCT images. Comparison of this system with manual clinical measurements demonstrated its potential for automatic objective skin analysis and diseases diagnosis. To our knowledge, this is the first report of an automated system to process and analyse HD-OCT skin images.

AB - The in vivo assessment and visualization of skin structures can be performed through the use of high resolution optical coherence tomography imaging, also known as HD-OCT. However, the manual assessment of such images can be exhaustive and time consuming. In this paper, we present an analysis system to automatically identify and quantify the skin characteristics such as the topography of the surface of the skin and thickness of the epidermis in HD-OCT images. Comparison of this system with manual clinical measurements demonstrated its potential for automatic objective skin analysis and diseases diagnosis. To our knowledge, this is the first report of an automated system to process and analyse HD-OCT skin images.

UR - https://www.scopus.com/pages/publications/85009100466

U2 - 10.1109/EMBC.2016.7591579

DO - 10.1109/EMBC.2016.7591579

M3 - Conference contribution

C2 - 28269137

AN - SCOPUS:85009100466

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

SP - 3895

EP - 3898

BT - 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016

Y2 - 16 August 2016 through 20 August 2016

ER -

Yow AP, Cheng J, Li A, Srivastava R, Liu J, Wong DWK et al. Automated in vivo 3D high-definition optical coherence tomography skin analysis system. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 3895-3898. 7591579. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/EMBC.2016.7591579

Automated in vivo 3D high-definition optical coherence tomography skin analysis system

Abstract

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Conference

UN SDGs

ASJC Scopus subject areas

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