Fully automated media and lumen boundary detection in intravascular ultrasound images

Jenine Vandenberg; Geoff Liersch; Hugh Hanna; Jim Cameron

Fully automated media and lumen boundary detection in intravascular ultrasound images

Jenine Vandenberg
, Geoff Liersch
, Hugh Hanna
, Jim Cameron

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

Abstract

Intravascular Ultrasound (IVUS) imaging is a valuable method of quantifying the degree and severity of coronary atherosclerosis. Development of an automated method of this quantification has been hampered by the difficulty in automating the extraction of the lumen-intima interface and the media-adventitia interface. This paper describes how these interfaces can be automatically extracted using a combination of image processing techniques with the use of adaptive thresholding and a Fuzzy Logic decision process.

Original language	English
Title of host publication	Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
Editors	Anon
Pages	71-75
Number of pages	5
Publication status	Published - 1996
Externally published	Yes
Event	Proceedings of the 1996 IEEE Southwest Symposium on Image Analysis and Interpretation - San Antonio, United States of America Duration: 8 Apr 1996 → 9 Apr 1996

Conference

Conference	Proceedings of the 1996 IEEE Southwest Symposium on Image Analysis and Interpretation
Country/Territory	United States of America
City	San Antonio
Period	8/04/96 → 9/04/96

Cite this

@inproceedings{a2ab5417ee1642d98b0d9a6c06efed0f,

title = "Fully automated media and lumen boundary detection in intravascular ultrasound images",

abstract = "Intravascular Ultrasound (IVUS) imaging is a valuable method of quantifying the degree and severity of coronary atherosclerosis. Development of an automated method of this quantification has been hampered by the difficulty in automating the extraction of the lumen-intima interface and the media-adventitia interface. This paper describes how these interfaces can be automatically extracted using a combination of image processing techniques with the use of adaptive thresholding and a Fuzzy Logic decision process.",

author = "Jenine Vandenberg and Geoff Liersch and Hugh Hanna and Jim Cameron",

year = "1996",

language = "English",

pages = "71--75",

editor = "Anon",

booktitle = "Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation",

note = "Proceedings of the 1996 IEEE Southwest Symposium on Image Analysis and Interpretation ; Conference date: 08-04-1996 Through 09-04-1996",

}

Vandenberg, J, Liersch, G, Hanna, H & Cameron, J 1996, Fully automated media and lumen boundary detection in intravascular ultrasound images. in Anon (ed.), Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation. pp. 71-75, Proceedings of the 1996 IEEE Southwest Symposium on Image Analysis and Interpretation, San Antonio, Texas, United States of America, 8/04/96.

TY - GEN

T1 - Fully automated media and lumen boundary detection in intravascular ultrasound images

AU - Vandenberg, Jenine

AU - Liersch, Geoff

AU - Hanna, Hugh

AU - Cameron, Jim

PY - 1996

Y1 - 1996

N2 - Intravascular Ultrasound (IVUS) imaging is a valuable method of quantifying the degree and severity of coronary atherosclerosis. Development of an automated method of this quantification has been hampered by the difficulty in automating the extraction of the lumen-intima interface and the media-adventitia interface. This paper describes how these interfaces can be automatically extracted using a combination of image processing techniques with the use of adaptive thresholding and a Fuzzy Logic decision process.

AB - Intravascular Ultrasound (IVUS) imaging is a valuable method of quantifying the degree and severity of coronary atherosclerosis. Development of an automated method of this quantification has been hampered by the difficulty in automating the extraction of the lumen-intima interface and the media-adventitia interface. This paper describes how these interfaces can be automatically extracted using a combination of image processing techniques with the use of adaptive thresholding and a Fuzzy Logic decision process.

UR - https://www.scopus.com/pages/publications/0029705773

M3 - Conference Paper

AN - SCOPUS:0029705773

SP - 71

EP - 75

BT - Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

A2 - Anon, null

T2 - Proceedings of the 1996 IEEE Southwest Symposium on Image Analysis and Interpretation

Y2 - 8 April 1996 through 9 April 1996

ER -

Fully automated media and lumen boundary detection in intravascular ultrasound images

Abstract

Conference

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Cite this