Comput. Biol. Med. - An IVUS image-based approach for improvement of coronary plaque characterization.

Tópicos

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Resumo

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.

Resumo Limpo

virtual histologyintravascular ultrasound vhivus wide use studi atherosclerosi plaqu composit howev one main limit vhivus relat depend electrocardiogram ecggat acquisit overcom limit paper propos robust imagebas approach character plaqu use ivus imag propos method consist three main step shadow detect effici preprocess step identifi remov acoust shadow region featur extract combin grayscal base featur textur descriptor classif classifi pixel one three class calcium necrot core fibrofatti order evalu effici propos algorithm two invivo exvivo data set consid kappa valu invivo exvivo test vhivus histolog imag label expert respect indic effect propos algorithm

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