Automatic detection of pathological myopia using variational level set

N. M. Tan; J. Liu; D. W.K. Wong; J. H. Lim; Z. Zhang; S. Lu; H. Li; S. M. Saw; L. Tong; T. Y. Wong

doi:10.1109/IEMBS.2009.5333517

Automatic detection of pathological myopia using variational level set

N. M. Tan
, J. Liu
, D. W.K. Wong
, J. H. Lim
, Z. Zhang
, S. Lu
, H. Li
, S. M. Saw
, L. Tong
, T. Y. Wong

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

30 Citations (Scopus)

Abstract

Pathological myopia, the seventh leading cause of legal blindness in United States, is a condition caused by pathological axial elongation and eyes that deviates from the normal distribution curve of axial length, resulting in impaired vision. Studies have shown that ocular risks associated with myopia should not be underestimated, and there is a public health need to prevent the onset or progression of myopia. Peripapillary atrophy (PPA) is one of the clinical indicators for pathological myopia. In this paper, we introduce a novel method, to detect pathological myopia via peripapaillary atrophy feature by means of variational level set. This method is a core algorithm of our system, PAMELA, an automated system for the detection of pathological myopia. The proposed method has been tested on 40 images from Singapore Cohort study Of the Risk factors for Myopia (SCORM), producing a 95% accuracy of correct assessment, and a sensitivity and specificity of 0.9 and 1 respectively. The results highlight the potential of PAMELA as a possible clinical tool for objective mass screening of pathological myopia.

Original language	English
Title of host publication	Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Subtitle of host publication	Engineering the Future of Biomedicine, EMBC 2009
Publisher	IEEE Computer Society
Pages	3609-3612
Number of pages	4
ISBN (Print)	9781424432967
DOIs	https://doi.org/10.1109/IEMBS.2009.5333517
Publication status	Published - 2009
Externally published	Yes
Event	31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 - Minneapolis, MN, United States Duration: 2 Sept 2009 → 6 Sept 2009

Publication series

Name	Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009

Conference

Conference	31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
Country/Territory	United States
City	Minneapolis, MN
Period	2/09/09 → 6/09/09

UN SDGs

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

SDG 3 Good Health and Well-being

Free Keywords

Level set
Pathological myopia
Peripapillary atrophy (ppa)

ASJC Scopus subject areas

Cell Biology
Developmental Biology
Biomedical Engineering
General Medicine

Access to Document

10.1109/IEMBS.2009.5333517

Cite this

Tan, N. M., Liu, J., Wong, D. W. K., Lim, J. H., Zhang, Z., Lu, S., Li, H., Saw, S. M., Tong, L., & Wong, T. Y. (2009). Automatic detection of pathological myopia using variational level set. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 (pp. 3609-3612). Article 5333517 (Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009). IEEE Computer Society. https://doi.org/10.1109/IEMBS.2009.5333517

Tan, N. M. ; Liu, J. ; Wong, D. W.K. et al. / Automatic detection of pathological myopia using variational level set. Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. IEEE Computer Society, 2009. pp. 3609-3612 (Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009).

@inproceedings{f250b438b73f4330a556a3664aa05b52,

title = "Automatic detection of pathological myopia using variational level set",

abstract = "Pathological myopia, the seventh leading cause of legal blindness in United States, is a condition caused by pathological axial elongation and eyes that deviates from the normal distribution curve of axial length, resulting in impaired vision. Studies have shown that ocular risks associated with myopia should not be underestimated, and there is a public health need to prevent the onset or progression of myopia. Peripapillary atrophy (PPA) is one of the clinical indicators for pathological myopia. In this paper, we introduce a novel method, to detect pathological myopia via peripapaillary atrophy feature by means of variational level set. This method is a core algorithm of our system, PAMELA, an automated system for the detection of pathological myopia. The proposed method has been tested on 40 images from Singapore Cohort study Of the Risk factors for Myopia (SCORM), producing a 95\% accuracy of correct assessment, and a sensitivity and specificity of 0.9 and 1 respectively. The results highlight the potential of PAMELA as a possible clinical tool for objective mass screening of pathological myopia.",

keywords = "Level set, Pathological myopia, Peripapillary atrophy (ppa)",

author = "Tan, \{N. M.\} and J. Liu and Wong, \{D. W.K.\} and Lim, \{J. H.\} and Z. Zhang and S. Lu and H. Li and Saw, \{S. M.\} and L. Tong and Wong, \{T. Y.\}",

note = "Copyright: Copyright 2018 Elsevier B.V., All rights reserved.; 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 ; Conference date: 02-09-2009 Through 06-09-2009",

year = "2009",

doi = "10.1109/IEMBS.2009.5333517",

language = "English",

isbn = "9781424432967",

series = "Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009",

publisher = "IEEE Computer Society",

pages = "3609--3612",

booktitle = "Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society",

address = "United States",

}

Tan, NM, Liu, J, Wong, DWK, Lim, JH, Zhang, Z, Lu, S, Li, H, Saw, SM, Tong, L & Wong, TY 2009, Automatic detection of pathological myopia using variational level set. in Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009., 5333517, Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009, IEEE Computer Society, pp. 3609-3612, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009, Minneapolis, MN, United States, 2/09/09. https://doi.org/10.1109/IEMBS.2009.5333517

Automatic detection of pathological myopia using variational level set. / Tan, N. M.; Liu, J.; Wong, D. W.K. et al.
Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. IEEE Computer Society, 2009. p. 3609-3612 5333517 (Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009).

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

TY - GEN

T1 - Automatic detection of pathological myopia using variational level set

AU - Tan, N. M.

AU - Liu, J.

AU - Wong, D. W.K.

AU - Lim, J. H.

AU - Zhang, Z.

AU - Lu, S.

AU - Li, H.

AU - Saw, S. M.

AU - Tong, L.

AU - Wong, T. Y.

PY - 2009

Y1 - 2009

N2 - Pathological myopia, the seventh leading cause of legal blindness in United States, is a condition caused by pathological axial elongation and eyes that deviates from the normal distribution curve of axial length, resulting in impaired vision. Studies have shown that ocular risks associated with myopia should not be underestimated, and there is a public health need to prevent the onset or progression of myopia. Peripapillary atrophy (PPA) is one of the clinical indicators for pathological myopia. In this paper, we introduce a novel method, to detect pathological myopia via peripapaillary atrophy feature by means of variational level set. This method is a core algorithm of our system, PAMELA, an automated system for the detection of pathological myopia. The proposed method has been tested on 40 images from Singapore Cohort study Of the Risk factors for Myopia (SCORM), producing a 95% accuracy of correct assessment, and a sensitivity and specificity of 0.9 and 1 respectively. The results highlight the potential of PAMELA as a possible clinical tool for objective mass screening of pathological myopia.

AB - Pathological myopia, the seventh leading cause of legal blindness in United States, is a condition caused by pathological axial elongation and eyes that deviates from the normal distribution curve of axial length, resulting in impaired vision. Studies have shown that ocular risks associated with myopia should not be underestimated, and there is a public health need to prevent the onset or progression of myopia. Peripapillary atrophy (PPA) is one of the clinical indicators for pathological myopia. In this paper, we introduce a novel method, to detect pathological myopia via peripapaillary atrophy feature by means of variational level set. This method is a core algorithm of our system, PAMELA, an automated system for the detection of pathological myopia. The proposed method has been tested on 40 images from Singapore Cohort study Of the Risk factors for Myopia (SCORM), producing a 95% accuracy of correct assessment, and a sensitivity and specificity of 0.9 and 1 respectively. The results highlight the potential of PAMELA as a possible clinical tool for objective mass screening of pathological myopia.

KW - Level set

KW - Pathological myopia

KW - Peripapillary atrophy (ppa)

UR - https://www.scopus.com/pages/publications/77951020875

U2 - 10.1109/IEMBS.2009.5333517

DO - 10.1109/IEMBS.2009.5333517

M3 - Conference contribution

C2 - 19964081

AN - SCOPUS:77951020875

SN - 9781424432967

T3 - Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009

SP - 3609

EP - 3612

BT - Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society

PB - IEEE Computer Society

T2 - 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009

Y2 - 2 September 2009 through 6 September 2009

ER -

Tan NM, Liu J, Wong DWK, Lim JH, Zhang Z, Lu S et al. Automatic detection of pathological myopia using variational level set. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. IEEE Computer Society. 2009. p. 3609-3612. 5333517. (Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009). doi: 10.1109/IEMBS.2009.5333517

Automatic detection of pathological myopia using variational level set

Abstract

Publication series

Conference

UN SDGs

Free Keywords

ASJC Scopus subject areas

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