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An IVUS image-based approach for improvement of coronary plaque characterization

Taki A, Roodaki A, Setarehdan SK, Avansari S, Unal G, Navab N (2013)

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Publication Type: Journal article

Publication year: 2013

Journal

Book Volume: 43

Pages Range: 268-280

Journal Issue: 4

DOI: 10.1016/j.compbiomed.2012.12.008

Abstract

Virtual Histology-Intravascular Ultrasound (VH-IVUS) is widely used for studying atherosclerosis plaque composition. However, one of the main limitations of the VH-IVUS relates to its dependence to the Electrocardiogram (ECG)-gated acquisition. To overcome this limitation, this paper proposes a robust image-based approach for characterization of the plaques using IVUS images. The proposed method consists of three main steps of (1) shadow detection: as an efficient preprocessing step to identify and remove acoustic shadow regions; (2) feature extraction: a combination of gray-scale based features and textural descriptors; and (3) classification: to classify each pixel into one of the three classes (calcium, necrotic core and fibro-fatty). In order to evaluate the efficiency of the proposed algorithm two in-vivo and ex-vivo data sets are considered. The kappa values of 0.639 on in-vivo and 0.628 on ex-vivo tests with VH-IVUS and the histology images labeled by the experts respectively indicate the effectiveness of the proposed algorithm. © 2013 Elsevier Ltd.

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How to cite

APA:

Taki, A., Roodaki, A., Setarehdan, S.K., Avansari, S., Unal, G., & Navab, N. (2013). An IVUS image-based approach for improvement of coronary plaque characterization. Computers in Biology and Medicine, 43(4), 268-280. https://doi.org/10.1016/j.compbiomed.2012.12.008

MLA:

Taki, Arash, et al. "An IVUS image-based approach for improvement of coronary plaque characterization." Computers in Biology and Medicine 43.4 (2013): 268-280.

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