Computer image analysis for the 2-D coronary arteriograms

Yung Nien Sun; Chien Chuan Ko; Shei Hsi Chang; Chi Wu Mao

Computer image analysis for the 2-D coronary arteriograms

Yung Nien Sun
, Chien Chuan Ko
, Shei Hsi Chang
, Chi Wu Mao

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

In this paper, a new method for the automatical identification of coronary border was presented. It mainly utilizes mathematical morphology to segment the blood vessels and derive a refined skeletons for tracking. Finally, a tracking algorithm incorporated with a branching-point model, match filter, skeletons of blood vessels is applied to detect the arterial border and estimate the lumen width of blood vessels. Experiments reveal that our approach can not only eliminate background variations and noise, but accurately define the boundary and coronary angiograms.

Original language	English
Title of host publication	Proc 1993 IEEE Reg 10 Conf Comput Commun Control Power Eng (TENCON '93)
Editors	Anon
Publisher	Publ by IEEE
Pages	978-982
Number of pages	5
ISBN (Print)	0780312333
Publication status	Published - 1993
Event	Proceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering. Part 3 (of 5) - Beijing, China Duration: 1993 Oct 19 → 1993 Oct 21

Publication series

Name	Proc 1993 IEEE Reg 10 Conf Comput Commun Control Power Eng (TENCON '93)

Other

Other	Proceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering. Part 3 (of 5)
City	Beijing, China
Period	93-10-19 → 93-10-21

All Science Journal Classification (ASJC) codes

General Engineering

Cite this

@inproceedings{f11f4f0661be40588aab22e029c796b7,

title = "Computer image analysis for the 2-D coronary arteriograms",

abstract = "In this paper, a new method for the automatical identification of coronary border was presented. It mainly utilizes mathematical morphology to segment the blood vessels and derive a refined skeletons for tracking. Finally, a tracking algorithm incorporated with a branching-point model, match filter, skeletons of blood vessels is applied to detect the arterial border and estimate the lumen width of blood vessels. Experiments reveal that our approach can not only eliminate background variations and noise, but accurately define the boundary and coronary angiograms.",

author = "Sun, \{Yung Nien\} and Ko, \{Chien Chuan\} and Chang, \{Shei Hsi\} and Mao, \{Chi Wu\}",

year = "1993",

language = "English",

isbn = "0780312333",

series = "Proc 1993 IEEE Reg 10 Conf Comput Commun Control Power Eng (TENCON '93)",

publisher = "Publ by IEEE",

pages = "978--982",

editor = "Anon",

booktitle = "Proc 1993 IEEE Reg 10 Conf Comput Commun Control Power Eng (TENCON '93)",

note = "Proceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering. Part 3 (of 5) ; Conference date: 19-10-1993 Through 21-10-1993",

}

Sun, YN, Ko, CC, Chang, SH & Mao, CW 1993, Computer image analysis for the 2-D coronary arteriograms. in Anon (ed.), Proc 1993 IEEE Reg 10 Conf Comput Commun Control Power Eng (TENCON '93). Proc 1993 IEEE Reg 10 Conf Comput Commun Control Power Eng (TENCON '93), Publ by IEEE, pp. 978-982, Proceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering. Part 3 (of 5), Beijing, China, 93-10-19.

Computer image analysis for the 2-D coronary arteriograms. / Sun, Yung Nien; Ko, Chien Chuan; Chang, Shei Hsi et al.
Proc 1993 IEEE Reg 10 Conf Comput Commun Control Power Eng (TENCON '93). ed. / Anon. Publ by IEEE, 1993. p. 978-982 (Proc 1993 IEEE Reg 10 Conf Comput Commun Control Power Eng (TENCON '93)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Computer image analysis for the 2-D coronary arteriograms

AU - Sun, Yung Nien

AU - Ko, Chien Chuan

AU - Chang, Shei Hsi

AU - Mao, Chi Wu

PY - 1993

Y1 - 1993

N2 - In this paper, a new method for the automatical identification of coronary border was presented. It mainly utilizes mathematical morphology to segment the blood vessels and derive a refined skeletons for tracking. Finally, a tracking algorithm incorporated with a branching-point model, match filter, skeletons of blood vessels is applied to detect the arterial border and estimate the lumen width of blood vessels. Experiments reveal that our approach can not only eliminate background variations and noise, but accurately define the boundary and coronary angiograms.

AB - In this paper, a new method for the automatical identification of coronary border was presented. It mainly utilizes mathematical morphology to segment the blood vessels and derive a refined skeletons for tracking. Finally, a tracking algorithm incorporated with a branching-point model, match filter, skeletons of blood vessels is applied to detect the arterial border and estimate the lumen width of blood vessels. Experiments reveal that our approach can not only eliminate background variations and noise, but accurately define the boundary and coronary angiograms.

UR - https://www.scopus.com/pages/publications/0027765130

UR - https://www.scopus.com/pages/publications/0027765130#tab=citedBy

M3 - Conference contribution

AN - SCOPUS:0027765130

SN - 0780312333

T3 - Proc 1993 IEEE Reg 10 Conf Comput Commun Control Power Eng (TENCON '93)

SP - 978

EP - 982

BT - Proc 1993 IEEE Reg 10 Conf Comput Commun Control Power Eng (TENCON '93)

A2 - Anon, null

PB - Publ by IEEE

T2 - Proceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering. Part 3 (of 5)

Y2 - 19 October 1993 through 21 October 1993

ER -

Computer image analysis for the 2-D coronary arteriograms

Abstract

Publication series

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All Science Journal Classification (ASJC) codes

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