PublicationDetail

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

A. Roodaki, A. Taki, S.K. Setarehdan, N. Navab
Modified wavelet transform features for Characterizing different plaque types in IVUS images; A feasibility study
9th International Conference on Signal Processing (ICSP’08) Oct. 26-29 , 2008 , Beijing , CHINA (bib)

Atherosclerosis is a leading cause of most cardiovascular diseases. Current intravascular ultrasound (IVUS) image processing techniques do not allow adequate and effective identification of the coronary artery plaques. This can be improved by defining more discriminative features for each kind of artery plaques. In this paper, the effectiveness of a modified wavelet transform feature extraction method and the Gabor filter were studied for automated characterization of the atherosclerosis plaques within the IVUS images. The methods are applied on 100 IVUS images obtained from five different patients. Support vector machine was employed in the classification step. As a result an accuracy rate of about 8o% was achieved for all methods.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each authors copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.



Edit | Attach | Refresh | Diffs | More | Revision r1.13 - 30 Jan 2019 - 15:16 - LeslieCasas

Lehrstuhl für Computer Aided Medical Procedures & Augmented Reality    rss.gif