A fully automated system for retinal vessel tortuosity diagnosis using scale dependent vessel tracing and grading

Qin Li; Jia You; Jinghua Wang; Allan Wong

doi:10.1109/CBMS.2010.6042645

A fully automated system for retinal vessel tortuosity diagnosis using scale dependent vessel tracing and grading

Qin Li, Jia You, Jinghua Wang, Allan Wong

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

4 Citations (Scopus)

Abstract

A fully automated system for retinal vessel tortuosity system diagnosis is proposed in this paper. Our diagnosis system includes: (1) automated retinal vessel segmentation and tracing; (2) computerized tortuosity grading. In recent years, many works have been done on computerized diagnosis of retinal vessel tortuosity. But there are few researchers working on a fully automated system. The major difficulties in producing a fully automated system includes: (1) automated tracing of vessels to identify each individual branch; (2) global tortuosity grading of a retinal vessel image. In this paper, we propose a scheme to trace and grade retinal vessels using scale (variant widths and lengths of vessel segments) dependent techniques. The experimental results show that our system is useful in clinical applications.

Original language	English
Title of host publication	Proceedings of the 23rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2010
Pages	221-225
Number of pages	5
DOIs	https://doi.org/10.1109/CBMS.2010.6042645
Publication status	Published - 1 Dec 2010
Event	23rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2010 - Perth, Australia Duration: 12 Oct 2010 → 15 Oct 2010

Conference

Conference	23rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2010
Country/Territory	Australia
City	Perth
Period	12/10/10 → 15/10/10

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging
Computer Science Applications

More information

10.1109/CBMS.2010.6042645

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title = "A fully automated system for retinal vessel tortuosity diagnosis using scale dependent vessel tracing and grading",

abstract = "A fully automated system for retinal vessel tortuosity system diagnosis is proposed in this paper. Our diagnosis system includes: (1) automated retinal vessel segmentation and tracing; (2) computerized tortuosity grading. In recent years, many works have been done on computerized diagnosis of retinal vessel tortuosity. But there are few researchers working on a fully automated system. The major difficulties in producing a fully automated system includes: (1) automated tracing of vessels to identify each individual branch; (2) global tortuosity grading of a retinal vessel image. In this paper, we propose a scheme to trace and grade retinal vessels using scale (variant widths and lengths of vessel segments) dependent techniques. The experimental results show that our system is useful in clinical applications.",

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doi = "10.1109/CBMS.2010.6042645",

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Li, Q, You, J, Wang, J & Wong, A 2010, A fully automated system for retinal vessel tortuosity diagnosis using scale dependent vessel tracing and grading. in Proceedings of the 23rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2010., 6042645, pp. 221-225, 23rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2010, Perth, Australia, 12/10/10. https://doi.org/10.1109/CBMS.2010.6042645

A fully automated system for retinal vessel tortuosity diagnosis using scale dependent vessel tracing and grading. / Li, Qin; You, Jia; Wang, Jinghua et al.
Proceedings of the 23rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2010. 2010. p. 221-225 6042645.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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A fully automated system for retinal vessel tortuosity diagnosis using scale dependent vessel tracing and grading

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