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

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A. Katouzian, A. Karamalis, A. Laine, N. Navab
A Systematic Approach Toward Reliable Atherosclerotic Plaque Characterization in IVUS Images
Bildverarbeitung für die Medizin, Berlin, 2012, Germany (bib)

Intravascular ultrasound (IVUS) is the most favorable imaging modality that often used in coronary artery catheterization procedures and provides cross-sectional images of arterial wall structures and extend of atherosclerosis disease. Although several techniques have been developed to classify atherosclerotic tissues, deploying IVUS radiofrequency (RF) backscattered signals and/or grayscale images their clinical applications have seen limited success. In this paper, we propose a unified methodological framework from data collection, histology preparation, registration, feature extraction, and classification to achieve a reliable in vitro trained tissue characterization classifier for in vivo applications. Finally, the results from proposed algorithm is compared with state of the art virtual histology (VH) technique.
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