Stripe noise removal and vessel segmentation of OCTA images

Xiyin Wu; Dongxu Gao; Davide  Borroni; Savita  Madhusudhan; Yalin Zheng

doi:10.1088/978-0-7503-2060-3ch3

Stripe noise removal and vessel segmentation of OCTA images

Xiyin Wu, Dongxu Gao, Davide Borroni, Savita Madhusudhan, Yalin Zheng

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Abstract

In this chapter, we present a two-stage strategy, in which stripe noise removal is addressed by image decomposition and vessel segmentation is solved by an active contours approach. Besides, a joint model is also given in this chapter to improve the speed of the algorithm while retaining the quality of the segmentation and destriping. The experimental results are presented on both simulated and real retinal imaging data, demonstrating the effective performance of the joint model for segmenting vessels from the OCTA images corrupted by stripe noise. Furthermore, the stripe direction influence is tested to prove the flexibility of the joint model.

Original language	English
Title of host publication	Photo Acoustic and Optical Coherence Tomography Imaging
Subtitle of host publication	Angiography: An Application in Vessel Imaging
Editors	Ayman El-Baz, Jasjit S. Suri
Publisher	IOP Publishing Ltd.
Chapter	3
Pages	3-1-3-25
Number of pages	25
Volume	3
ISBN (Electronic)	9780750320603
ISBN (Print)	9780750320580
DOIs	https://doi.org/10.1088/978-0-7503-2060-3ch3 https://doi.org/10.1088/978-0-7503-2060-3
Publication status	Published - 1 Dec 2021

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Wu, X., Gao, D., Borroni, D., Madhusudhan, S., & Zheng, Y. (2021). Stripe noise removal and vessel segmentation of OCTA images. In A. El-Baz, & J. S. Suri (Eds.), Photo Acoustic and Optical Coherence Tomography Imaging: Angiography: An Application in Vessel Imaging (Vol. 3, pp. 3-1-3-25). IOP Publishing Ltd.. https://doi.org/10.1088/978-0-7503-2060-3ch3, https://doi.org/10.1088/978-0-7503-2060-3

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abstract = "In this chapter, we present a two-stage strategy, in which stripe noise removal is addressed by image decomposition and vessel segmentation is solved by an active contours approach. Besides, a joint model is also given in this chapter to improve the speed of the algorithm while retaining the quality of the segmentation and destriping. The experimental results are presented on both simulated and real retinal imaging data, demonstrating the effective performance of the joint model for segmenting vessels from the OCTA images corrupted by stripe noise. Furthermore, the stripe direction influence is tested to prove the flexibility of the joint model.",

author = "Xiyin Wu and Dongxu Gao and Davide Borroni and Savita Madhusudhan and Yalin Zheng",

year = "2021",

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Wu, X, Gao, D, Borroni, D, Madhusudhan, S & Zheng, Y 2021, Stripe noise removal and vessel segmentation of OCTA images. in A El-Baz & JS Suri (eds), Photo Acoustic and Optical Coherence Tomography Imaging: Angiography: An Application in Vessel Imaging. vol. 3, IOP Publishing Ltd., pp. 3-1-3-25. https://doi.org/10.1088/978-0-7503-2060-3ch3, https://doi.org/10.1088/978-0-7503-2060-3

Stripe noise removal and vessel segmentation of OCTA images. / Wu, Xiyin; Gao, Dongxu; Borroni, Davide et al.
Photo Acoustic and Optical Coherence Tomography Imaging: Angiography: An Application in Vessel Imaging. ed. / Ayman El-Baz; Jasjit S. Suri. Vol. 3 IOP Publishing Ltd., 2021. p. 3-1-3-25.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - Stripe noise removal and vessel segmentation of OCTA images

AU - Wu, Xiyin

AU - Gao, Dongxu

AU - Borroni, Davide

AU - Madhusudhan, Savita

AU - Zheng, Yalin

PY - 2021/12/1

Y1 - 2021/12/1

N2 - In this chapter, we present a two-stage strategy, in which stripe noise removal is addressed by image decomposition and vessel segmentation is solved by an active contours approach. Besides, a joint model is also given in this chapter to improve the speed of the algorithm while retaining the quality of the segmentation and destriping. The experimental results are presented on both simulated and real retinal imaging data, demonstrating the effective performance of the joint model for segmenting vessels from the OCTA images corrupted by stripe noise. Furthermore, the stripe direction influence is tested to prove the flexibility of the joint model.

AB - In this chapter, we present a two-stage strategy, in which stripe noise removal is addressed by image decomposition and vessel segmentation is solved by an active contours approach. Besides, a joint model is also given in this chapter to improve the speed of the algorithm while retaining the quality of the segmentation and destriping. The experimental results are presented on both simulated and real retinal imaging data, demonstrating the effective performance of the joint model for segmenting vessels from the OCTA images corrupted by stripe noise. Furthermore, the stripe direction influence is tested to prove the flexibility of the joint model.

U2 - 10.1088/978-0-7503-2060-3ch3

DO - 10.1088/978-0-7503-2060-3ch3

M3 - Chapter (peer-reviewed)

SN - 9780750320580

VL - 3

SP - 3-1-3-25

BT - Photo Acoustic and Optical Coherence Tomography Imaging

A2 - El-Baz, Ayman

A2 - Suri, Jasjit S.

PB - IOP Publishing Ltd.

ER -

Stripe noise removal and vessel segmentation of OCTA images

Abstract

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