OCT Fluid Segmentation using Graph Shortest Path and Convolutional Neural Network

Abdolreza Rashno; Dara D. Koozekanani; Keshab K. Parhi

doi:10.1109/EMBC.2018.8512998

OCT Fluid Segmentation using Graph Shortest Path and Convolutional Neural Network

Abdolreza Rashno, Dara D. Koozekanani, Keshab K. Parhi

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

31 Scopus citations

Abstract

Diagnosis and monitoring of retina diseases related to pathologies such as accumulated fluid can be performed using optical coherence tomography (OCT). OCT acquires a series of 2D slices (Bscans). This work presents a fully-automated method based on graph shortest path algorithms and convolutional neural network (CNN) to segment and detect three types of fluid including sub-retinal fluid (SRF), intra-retinal fluid (IRF) and pigment epithelium detachment (PED) in OCT Bscans of subjects with age-related macular degeneration (AMD) and retinal vein occlusion (RVO) or diabetic retinopathy. The proposed method achieves an average dice coefficient of 76.44%, 92.25% and 82.14% in Cirrus, Spectralis and Topcon datasets, respectively. The effectiveness of the proposed methods was also demonstrated in segmenting fluid in OCT images from the 2017 Retouch challenge.

Original language	English (US)
Title of host publication	40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3426-3429
Number of pages	4
ISBN (Electronic)	9781538636466
DOIs	https://doi.org/10.1109/EMBC.2018.8512998
State	Published - Oct 26 2018
Event	40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, United States Duration: Jul 18 2018 → Jul 21 2018

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume	2018-July
ISSN (Print)	1557-170X

Other

Other	40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Country/Territory	United States
City	Honolulu
Period	7/18/18 → 7/21/18

Bibliographical note

Funding Information:
*This research was supported in part by the Minnesota Lions Foundation under grant UMF14601 and by the Research to Prevent Blindness.

Publisher Copyright:
© 2018 IEEE.

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10.1109/EMBC.2018.8512998

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Rashno, A., Koozekanani, D. D., & Parhi, K. K. (2018). OCT Fluid Segmentation using Graph Shortest Path and Convolutional Neural Network. In 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 (pp. 3426-3429). Article 8512998 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2018-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2018.8512998

OCT Fluid Segmentation using Graph Shortest Path and Convolutional Neural Network. / Rashno, Abdolreza; Koozekanani, Dara D.; Parhi, Keshab K.
40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 3426-3429 8512998 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2018-July).

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

Rashno, A, Koozekanani, DD & Parhi, KK 2018, OCT Fluid Segmentation using Graph Shortest Path and Convolutional Neural Network. in 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018., 8512998, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, vol. 2018-July, Institute of Electrical and Electronics Engineers Inc., pp. 3426-3429, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018, Honolulu, United States, 7/18/18. https://doi.org/10.1109/EMBC.2018.8512998

Rashno A, Koozekanani DD , Parhi KK. OCT Fluid Segmentation using Graph Shortest Path and Convolutional Neural Network. In 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 3426-3429. 8512998. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/EMBC.2018.8512998

Rashno, Abdolreza ; Koozekanani, Dara D. ; Parhi, Keshab K. / OCT Fluid Segmentation using Graph Shortest Path and Convolutional Neural Network. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 3426-3429 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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OCT Fluid Segmentation using Graph Shortest Path and Convolutional Neural Network

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