Identification of Luminal and Medial Adventitial Borders in Intravascular Ultrasound Images Using Level Sets
Extraction of the media and plaque boundaries from the intravascular Ultrasound (IVUS) images is gaining popularity as a biomedical application. This paper presents a novel system for the fully automatic extraction of the boundaries of the media and the plaque visible in the IVUS images. The system utilizes an enhanced level set technique to derive the evolution of two coupled contours as the zero level sets of a single higher dimensional surface. Moreover, the system utilizes the surface features to impose the expected media thickness. By using the single surface as a communication path between the contours, the system carries all the advantages of using two evolving surfaces and it becomes more efficient, less complex, easily extensible, and faster. Additionally, the capability of using different dynamic behaviors for the segmentation of the inner and outer walls makes our system even more flexible. The derived surface evolution equations capture the domain dependent information in an elegant and effective manner and address many practical issues, such as the missing wall sections or very weak boundary contrast. We have verified the accuracy and effectiveness of our system on synthetic and real data.
KeywordsIntravascular Ultrasound IVUS Image Contour Evolution Intravascular Ultrasound Image Thickness Constraint
Unable to display preview. Download preview PDF.
- 1.Wahle, S.A., Prause, G.P.M., Sonka, M.: Geometrically correct 3-d reconstruction of intravascular ultrasound images by fusion with biplane angiography—methods and validation. IEEE Transactions on Medical Imaging 18(8) (1999)Google Scholar
- 2.von Birgelen, W.L.J.C.H.S.C.J.S.P.J.d.F.J.R.T.C.R.C., Di Mario, C., Serruys, P.W.: Morphometric analysis in three-dimensional intracoronary ultrasound: An in-vitro and in-vivo study performed with a novel system for the contour detection of lumen and plaque. American Heart Journal 132, 516–527Google Scholar
- 4.Dijkstra, G.K.J.H.C.R.J., Wahle, A., Sonka, M.: Quantitative coronary ultrasound: State of the art. In: Reiber, J.H.C., van der Wall, E.E. (eds.) What’s New in Cardiovascular Imaging (Developments in Cardiovascular Medicine), vol. 204, p. 79. Kluwer, Dordrecht (1998)Google Scholar
- 6.Sonka, M.S.M.S.B.S.C.D.S.M.M., Zhang, X., McKay, C.R.: Segmentation of intravascular ultrasound images: A knowledge-based approach. IEEE Transactions on Medical Imaging 14, 719–732Google Scholar
- 7.Malladi, R., Sethian, J., Vemuri, B.: Shape modeling with front propagation: A level set approach. IEEE Transactions on Pattern Analysis and Machine Intelligence 17(2) (February 1995)Google Scholar
- 10.Topol, E.J., Nissen, S.E.: Our preoccupation with coronary luminology. the dissociation between clinical and angiographic findings in ischemic heart disease. Circulation 92, 2333 (1995)Google Scholar
- 11.Li, C.D.M.E.E.N.d.P.W., von Birgelen, C., Bom, N.: Semi-automatic contour detection for volumetric quantification of intravascular ultrasound. In: Proc. Computers in Cardiology 1994, pp. 277–280. IEEE-CS Press, Los Alamitos (1994/1995)Google Scholar