Stripe noise removal and vessel segmentation of OCTA images

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

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


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 languageEnglish
Title of host publicationPhoto Acoustic and Optical Coherence Tomography Imaging
Subtitle of host publicationAngiography: An Application in Vessel Imaging
EditorsAyman El-Baz, Jasjit S. Suri
PublisherIOP Publishing Ltd.
Number of pages25
ISBN (Electronic)9780750320603
ISBN (Print)9780750320580
Publication statusPublished - 1 Dec 2021


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