Fully automated media and lumen boundary detection in intravascular ultrasound images

Author

Vandenberg, Jenine ; Liersch, Geoff ; Hanna, Hugh ; Cameron, Jim

Author_Institution

Dept. of Electron. Eng., La Trobe Univ., Bundoora, Vic., Australia

fYear

1996

fDate

8-9 Apr 1996

Firstpage

71

Lastpage

75

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. The authors describe 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

Keywords

adaptive signal processing; biomedical ultrasonics; edge detection; medical image processing; adaptive thresholding; automatic extraction; coronary atherosclerosis severity; fully automated media detection; fuzzy logic decision process; intravascular ultrasound images; lumen boundary detection; lumen-intima interface; media-adventitia interface; medical diagnostic imaging; Arteries; Fuzzy logic; Image edge detection; Image processing; Image segmentation; Laplace equations; Noise reduction; Reflectivity; Speckle; Ultrasonic imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Interpretation, 1996., Proceedings of the IEEE Southwest Symposium on

Conference_Location

San Antonio, TX

Print_ISBN

0-7803-3200-8

Type

conf

DOI

10.1109/IAI.1996.493729

Filename

493729