Disc segmentation and BMO-MRW measurement from SD-OCT image using graph search and tracing of three bench mark reference layers of retina

Md Akter Hussain; Alauddin Bhuiyan; Kotagiri Ramamohanarao

doi:10.1109/ICIP.2015.7351574

Disc segmentation and BMO-MRW measurement from SD-OCT image using graph search and tracing of three bench mark reference layers of retina

Md Akter Hussain
, Alauddin Bhuiyan
, Kotagiri Ramamohanarao

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

11 Scopus citations

Abstract

Spectral Domain Optical Coherence Tomography (SD-OCT) imaging is a robust diagnostic tool for visualizing pathology in the retina for glaucoma and other diseases. Bruch's Membrane Opening minimum rim width (BMO-MRW) of retina is a good measurable marker for distinguishing glaucoma and normal individuals. In this paper, we have proposed a novel automatic method to compute BMO-MRW from segmenting the Inner limiting membrane (ILM) and Bruch's Membrane Opening (BMO). Our technique uses the location tracking of three bench mark reference (TBMR) layers of the retina that reduce search space with improving accuracy. This also allows locating the boundary of the optic disc. The accuracy was tested against manually detected disc boundary for 13 subjects. The precision, recall and F1 score shows more than 95% for disc area and unsigned mean error rate of BMO-MRW is 58.62 db 43.12 (Mean ± SD) μm.

Original language	English
Title of host publication	2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings
Publisher	IEEE Computer Society
Pages	4087-4091
Number of pages	5
ISBN (Electronic)	9781479983391
DOIs	https://doi.org/10.1109/ICIP.2015.7351574
State	Published - 9 Dec 2015
Externally published	Yes
Event	IEEE International Conference on Image Processing, ICIP 2015 - Quebec City, Canada Duration: 27 Sep 2015 → 30 Sep 2015

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
Volume	2015-December
ISSN (Print)	1522-4880

Conference

Conference	IEEE International Conference on Image Processing, ICIP 2015
Country/Territory	Canada
City	Quebec City
Period	27/09/15 → 30/09/15

Keywords

BMO-MRW
Connected Component Analysis
Disc
SD-OCT
Shortest Path Problem

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10.1109/ICIP.2015.7351574

Cite this

Hussain, M. A., Bhuiyan, A., & Ramamohanarao, K. (2015). Disc segmentation and BMO-MRW measurement from SD-OCT image using graph search and tracing of three bench mark reference layers of retina. In 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings (pp. 4087-4091). Article 7351574 (Proceedings - International Conference on Image Processing, ICIP; Vol. 2015-December). IEEE Computer Society. https://doi.org/10.1109/ICIP.2015.7351574

Hussain, Md Akter ; Bhuiyan, Alauddin ; Ramamohanarao, Kotagiri. / Disc segmentation and BMO-MRW measurement from SD-OCT image using graph search and tracing of three bench mark reference layers of retina. 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings. IEEE Computer Society, 2015. pp. 4087-4091 (Proceedings - International Conference on Image Processing, ICIP).

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title = "Disc segmentation and BMO-MRW measurement from SD-OCT image using graph search and tracing of three bench mark reference layers of retina",

abstract = "Spectral Domain Optical Coherence Tomography (SD-OCT) imaging is a robust diagnostic tool for visualizing pathology in the retina for glaucoma and other diseases. Bruch's Membrane Opening minimum rim width (BMO-MRW) of retina is a good measurable marker for distinguishing glaucoma and normal individuals. In this paper, we have proposed a novel automatic method to compute BMO-MRW from segmenting the Inner limiting membrane (ILM) and Bruch's Membrane Opening (BMO). Our technique uses the location tracking of three bench mark reference (TBMR) layers of the retina that reduce search space with improving accuracy. This also allows locating the boundary of the optic disc. The accuracy was tested against manually detected disc boundary for 13 subjects. The precision, recall and F1 score shows more than 95\% for disc area and unsigned mean error rate of BMO-MRW is 58.62 db 43.12 (Mean ± SD) μm.",

keywords = "BMO-MRW, Connected Component Analysis, Disc, SD-OCT, Shortest Path Problem",

author = "Hussain, \{Md Akter\} and Alauddin Bhuiyan and Kotagiri Ramamohanarao",

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Hussain, MA, Bhuiyan, A & Ramamohanarao, K 2015, Disc segmentation and BMO-MRW measurement from SD-OCT image using graph search and tracing of three bench mark reference layers of retina. in 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings., 7351574, Proceedings - International Conference on Image Processing, ICIP, vol. 2015-December, IEEE Computer Society, pp. 4087-4091, IEEE International Conference on Image Processing, ICIP 2015, Quebec City, Canada, 27/09/15. https://doi.org/10.1109/ICIP.2015.7351574

Disc segmentation and BMO-MRW measurement from SD-OCT image using graph search and tracing of three bench mark reference layers of retina. / Hussain, Md Akter; Bhuiyan, Alauddin; Ramamohanarao, Kotagiri.
2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings. IEEE Computer Society, 2015. p. 4087-4091 7351574 (Proceedings - International Conference on Image Processing, ICIP; Vol. 2015-December).

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

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AB - Spectral Domain Optical Coherence Tomography (SD-OCT) imaging is a robust diagnostic tool for visualizing pathology in the retina for glaucoma and other diseases. Bruch's Membrane Opening minimum rim width (BMO-MRW) of retina is a good measurable marker for distinguishing glaucoma and normal individuals. In this paper, we have proposed a novel automatic method to compute BMO-MRW from segmenting the Inner limiting membrane (ILM) and Bruch's Membrane Opening (BMO). Our technique uses the location tracking of three bench mark reference (TBMR) layers of the retina that reduce search space with improving accuracy. This also allows locating the boundary of the optic disc. The accuracy was tested against manually detected disc boundary for 13 subjects. The precision, recall and F1 score shows more than 95% for disc area and unsigned mean error rate of BMO-MRW is 58.62 db 43.12 (Mean ± SD) μm.

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Hussain MA, Bhuiyan A, Ramamohanarao K. Disc segmentation and BMO-MRW measurement from SD-OCT image using graph search and tracing of three bench mark reference layers of retina. In 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings. IEEE Computer Society. 2015. p. 4087-4091. 7351574. (Proceedings - International Conference on Image Processing, ICIP). doi: 10.1109/ICIP.2015.7351574

Disc segmentation and BMO-MRW measurement from SD-OCT image using graph search and tracing of three bench mark reference layers of retina

Abstract

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Keywords

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