Retinal artery and vein classification optimization method based on vascular topology

Zhihong Jiang, Hong Su, Aidi Zhao, Chongyang She, Hui Li, Huaiyu Qiu, Xiao Huang*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Arteriosclerosis is an independent predictor of cardiovascular disease which is one of the most important causes of human death. Retinal vascular features parameters are important for intelligent diagnosis of arteriosclerosis. These parameters depend on accurate artery and vein (A/V) classification result, but the convolutional neural networks (CNN) used for retinal A/V classification all have some A/V misclassification. In this paper, an optimization method is proposed to optimize the A/V classification of CNN basing on vascular topology. A multi-level lightweight algorithm is proposed to obtain the lightweight information of the vascular skeleton. Using the knowledge of graph theory, the multi-lightweight algorithm preserves the continuous and complete center line structure information. And then, we use multilevel Dijkstra algorithm to estimate the vascular topology on the lightweight vessel skeleton graph, and use the direction algorithm to obtain the vascular directed topology. Lastly, the topology labels algorithm is found on the type of branch nodes to deliver the A/V information along the vascular directed topology to optimize the A/V classification. Experiments clearly show that our optimization method can correct effectively the A/V misclassification.

Original languageEnglish
Title of host publicationInternational Conference on Computer Graphics, Artificial Intelligence, and Data Processing, ICCAID 2022
EditorsRuishi Liang, Jing Wang
PublisherSPIE
ISBN (Electronic)9781510663350
DOIs
Publication statusPublished - 2023
Event2022 International Conference on Computer Graphics, Artificial Intelligence, and Data Processing, ICCAID 2022 - Guangzhou, China
Duration: 23 Dec 202225 Dec 2022

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12604
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference2022 International Conference on Computer Graphics, Artificial Intelligence, and Data Processing, ICCAID 2022
Country/TerritoryChina
CityGuangzhou
Period23/12/2225/12/22

Keywords

  • Arteriosclerosis
  • Artery and vein classification
  • Image processing
  • Vascular topology

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Jiang, Z., Su, H., Zhao, A., She, C., Li, H., Qiu, H., & Huang, X. (2023). Retinal artery and vein classification optimization method based on vascular topology. In R. Liang, & J. Wang (Eds.), International Conference on Computer Graphics, Artificial Intelligence, and Data Processing, ICCAID 2022 Article 126043T (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 12604). SPIE. https://doi.org/10.1117/12.2674589