Abstract
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. 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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References
Virmani R, Burke AP, Kolodgie FD, et al. Pathology of the thin-cap fibroatheroma: a type of vulnerable plaque. J Inteven Cardiol. 2003;16(3):2672.
Kawasaki M, Takatsu H, Noda T, et al. In vivo quantitative tissue characterization of human coronary arterial plaques by use of integrated backscatter in- travascular ultrasound and comparison with angioscopic findings. Circulation. 2002;105(21):2487–92.
Nair A, Kuban BD, Tuzcu M, et al. Coronary plaque classification with intravascular ultrasound radiofrequency data analysis. Circulation. 2002;106:2200–6.
Escalera S, Pujol O, Mauri J, et al. Intravascular ultrasound tissue characterization with sub-class error-correcting output codes. J Signal Process Syst. 2009;55(1):35–47.
Taki A, Hetterich H, Roodaki A, et al. A new approach for improving coronary plaque component analysis based on intravascular ultrasound images. J Ultrasound Med. 2010;36(8):1245–58.
Katouzian A, Laine AF. Methods in atherosclerotic plaque characterization using intravascular ultrasound (IVUS) images and backscattered signals. Atheroscler Dis Manage. 2010; p. 121–52.
Glocker B, Komodakis N, Tziritas G, et al. Dense image registration through MRFs and efficient linear programming. Med Image Anal. 2008;12(6):731–41.
Katouzian A, Baseri B, Konofagou EE, et al. Texture-driven coronary artery plaque characterization using wavelet packet signatures. Proc IEEE ISBI. 2008; p. 197–200.
Katouzian A, Carlier S. Development and performance of a new unsupervised classifier for IVUS-based tissue characterization. In: Proc 31st Belgian Soc Cardiol; 2012. p. accepted.
Tanaka K, Carlier S, Katouzian A, et al. Characterization of the intravascular ultrasound radiofrequency signal within regions of acoustic shadowing behind calcium. J Am Coll Cardiol. 2007;49(9 Suppl B).
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© 2012 Springer-Verlag Berlin Heidelberg
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Katouzian, A., Karamalis, A., Laine, A., Navab, N. (2012). A Systematic Approach Toward Reliable Atherosclerotic Plaque Characterization in IVUS Images. In: Tolxdorff, T., Deserno, T., Handels, H., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2012. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28502-8_6
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DOI: https://doi.org/10.1007/978-3-642-28502-8_6
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Online ISBN: 978-3-642-28502-8
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