A new method for characterization of coronary plaque composition via ivus images

Taki, Arash and Roodaki, Alireza and Pauly, Olivier and Setarehdan, S.K. and Ünal, Gözde and Navab, Nassir (2009) A new method for characterization of coronary plaque composition via ivus images. In: IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2009), Boston, USA

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IVUS-derived virtual histology (VH) permits the assessment of atherosclerotic plaque morphology by using radiofrequency analysis of ultrasound signals. However, it requires the acquisition to be ECG-gated, which is a major limitation of VH. Indeed, its computation can only be performed once per cardiac cycle, which significantly decreases the longitudinal resolution of VH. To overcome this limitation, the introduction of an image-based plaque characterization is of great importance. Current IVUS image processing techniques do not allow adequate identification of the coronary artery plaques. This can be improved by defining appropriate features for the different kinds of plaques. In this paper, a novel feature extraction method based on Run-length algorithm is presented and used for improving the automated characterization of the plaques within the IVUS images. The proposed feature extraction method is applied to 200 IVUS images obtained from five patients. As a result an accuracy rate of 77% was achieved. Comparing this to the accuracy rates of 75% and 71% obtained using co-occurrence and local binary pattern methods respectively indicates the superior performance of the proposed feature extraction method.

Item Type:Papers in Conference Proceedings
Uncontrolled Keywords:IVUS; virtual histology; plaque characterization; texture analysis; support vector machine
Subjects:Q Science > QA Mathematics > QA075 Electronic computers. Computer science
ID Code:13001
Deposited By:Gözde Ünal
Deposited On:02 Dec 2009 14:06
Last Modified:22 Jul 2019 15:14

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