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 proceedingConference PaperResearchpeer-review

4 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
Editors Anon
Pages71-75
Number of pages5
Publication statusPublished - 1996
Externally publishedYes
EventProceedings of the 1996 IEEE Southwest Symposium on Image Analysis and Interpretation - San Antonio, United States of America
Duration: 8 Apr 19969 Apr 1996

Conference

ConferenceProceedings of the 1996 IEEE Southwest Symposium on Image Analysis and Interpretation
CountryUnited States of America
CitySan Antonio
Period8/04/969/04/96

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