A systematic approach toward reliable atherosclerotic plaque characterization in IVUS images

Amin Katouzian; Athanasios Karamalis; Andrew Laine; Nassir Navab

doi:10.1007/978-3-642-28502-8_6

A systematic approach toward reliable atherosclerotic plaque characterization in IVUS images

Amin Katouzian, Athanasios Karamalis, Andrew Laine, Nassir Navab

Informatics 16 - Chair of Computer Aided Medical Procedures

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	Bildverarbeitung fur die Medizin 2012
Subtitle of host publication	Algorithmen - Systeme - Anwendungen, BVM 2012 - Proceedings des Workshops
Publisher	Kluwer Academic Publishers
Pages	21-26
Number of pages	6
ISBN (Print)	9783642285011
DOIs	https://doi.org/10.1007/978-3-642-28502-8_6
State	Published - 2012
Event	Workshops Bildverarbeitung fur die Medizin: Algorithmen - Systeme - Anwendungen, BVM 2012 - Workshop on Image Processing for Medicine: Algorithms - Systems - Applications, BVM 2012 - Berlin, Germany Duration: 18 Mar 2012 → 20 Mar 2012

Publication series

Name	Informatik aktuell
ISSN (Print)	1431-472X

Conference

Conference	Workshops Bildverarbeitung fur die Medizin: Algorithmen - Systeme - Anwendungen, BVM 2012 - Workshop on Image Processing for Medicine: Algorithms - Systems - Applications, BVM 2012
Country/Territory	Germany
City	Berlin
Period	18/03/12 → 20/03/12

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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 Bildverarbeitung fur die Medizin 2012: Algorithmen - Systeme - Anwendungen, BVM 2012 - Proceedings des Workshops (pp. 21-26). (Informatik aktuell). Kluwer Academic Publishers. https://doi.org/10.1007/978-3-642-28502-8_6

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title = "A systematic approach toward reliable atherosclerotic plaque characterization in IVUS images",

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.",

author = "Amin Katouzian and Athanasios Karamalis and Andrew Laine and Nassir Navab",

year = "2012",

doi = "10.1007/978-3-642-28502-8_6",

language = "English",

isbn = "9783642285011",

series = "Informatik aktuell",

publisher = "Kluwer Academic Publishers",

pages = "21--26",

booktitle = "Bildverarbeitung fur die Medizin 2012",

note = "Workshops Bildverarbeitung fur die Medizin: Algorithmen - Systeme - Anwendungen, BVM 2012 - Workshop on Image Processing for Medicine: Algorithms - Systems - Applications, BVM 2012 ; Conference date: 18-03-2012 Through 20-03-2012",

}

Katouzian, A, Karamalis, A, Laine, A & Navab, N 2012, A systematic approach toward reliable atherosclerotic plaque characterization in IVUS images. in Bildverarbeitung fur die Medizin 2012: Algorithmen - Systeme - Anwendungen, BVM 2012 - Proceedings des Workshops. Informatik aktuell, Kluwer Academic Publishers, pp. 21-26, Workshops Bildverarbeitung fur die Medizin: Algorithmen - Systeme - Anwendungen, BVM 2012 - Workshop on Image Processing for Medicine: Algorithms - Systems - Applications, BVM 2012, Berlin, Germany, 18/03/12. https://doi.org/10.1007/978-3-642-28502-8_6

A systematic approach toward reliable atherosclerotic plaque characterization in IVUS images. / Katouzian, Amin; Karamalis, Athanasios; Laine, Andrew et al.
Bildverarbeitung fur die Medizin 2012: Algorithmen - Systeme - Anwendungen, BVM 2012 - Proceedings des Workshops. Kluwer Academic Publishers, 2012. p. 21-26 (Informatik aktuell).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - A systematic approach toward reliable atherosclerotic plaque characterization in IVUS images

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AU - Karamalis, Athanasios

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Y1 - 2012

N2 - 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.

AB - 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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Y2 - 18 March 2012 through 20 March 2012

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A systematic approach toward reliable atherosclerotic plaque characterization in IVUS images

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