Retinal vascular analysis: Segmentation, tracing, and beyond

Li Cheng; Xingzheng Lyu; He Zhao; Huazhu Fu; Huiqi Li

doi:10.1016/B978-0-08-102816-2.00006-X

Retinal vascular analysis: Segmentation, tracing, and beyond

Li Cheng, Xingzheng Lyu, He Zhao, Huazhu Fu, Huiqi Li

School of Information and Electronics

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

1 Citation (Scopus)

Abstract

With the advancement of retinal imaging instruments, retinal vascular image analysis is playing an increasingly important role in examining the vasculature structure and its associated properties in clinical practice. In this chapter, we investigate recent technical development in the closely related problems of vessel segmentation, tracing, and arterial and venous vessel classification. Moreover, this chapter summarizes related benchmark datasets, and discusses the metrics used in performance evaluation. Looking forward, a number of promising research directions are highlighted, including 3D, multimodal, mobile retinal image analyses, and the curation of large-scale comprehensive benchmarks.

Original language	English
Title of host publication	Computational Retinal Image Analysis
Subtitle of host publication	Tools, Applications and Perspectives
Publisher	Elsevier
Pages	95-120
Number of pages	26
ISBN (Electronic)	9780081028162
ISBN (Print)	9780081028179
DOIs	https://doi.org/10.1016/B978-0-08-102816-2.00006-X
Publication status	Published - 1 Jan 2019

Keywords

Arterial and venous vessel classification
Evaluation metrics
Retinal vessel datasets
Vascular tree separation
Vessel segmentation
Vessel tracing

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10.1016/B978-0-08-102816-2.00006-X

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abstract = "With the advancement of retinal imaging instruments, retinal vascular image analysis is playing an increasingly important role in examining the vasculature structure and its associated properties in clinical practice. In this chapter, we investigate recent technical development in the closely related problems of vessel segmentation, tracing, and arterial and venous vessel classification. Moreover, this chapter summarizes related benchmark datasets, and discusses the metrics used in performance evaluation. Looking forward, a number of promising research directions are highlighted, including 3D, multimodal, mobile retinal image analyses, and the curation of large-scale comprehensive benchmarks.",

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AU - Zhao, He

AU - Fu, Huazhu

AU - Li, Huiqi

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AB - With the advancement of retinal imaging instruments, retinal vascular image analysis is playing an increasingly important role in examining the vasculature structure and its associated properties in clinical practice. In this chapter, we investigate recent technical development in the closely related problems of vessel segmentation, tracing, and arterial and venous vessel classification. Moreover, this chapter summarizes related benchmark datasets, and discusses the metrics used in performance evaluation. Looking forward, a number of promising research directions are highlighted, including 3D, multimodal, mobile retinal image analyses, and the curation of large-scale comprehensive benchmarks.

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KW - Evaluation metrics

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KW - Vascular tree separation

KW - Vessel segmentation

KW - Vessel tracing

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BT - Computational Retinal Image Analysis

PB - Elsevier

ER -

Retinal vascular analysis: Segmentation, tracing, and beyond

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Keywords

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