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Optical Coherence Tomography Image Interpretation and Image Processing Methodologies

Optical Coherence Tomography Image Interpretation and Image Processing Methodologies
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Author(s): Simon D. Thackray (Castle Hill Hospital, UK), Christos V. Bourantas (Castle Hill Hospital, UK), Poay H. Loh (Castle Hill Hospital, UK), Vasilios D. Tsakanikas (University of Ioannina, Greece)and Dimitrios I. Fotiadis (University of Ioannina, Greece )
Copyright: 2013
Pages: 16
Source title: Image Processing: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-3994-2.ch026

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Abstract

Optical coherence tomography (OCT) is a light-based invasive imaging method allowing accurate evaluation of coronary luminal morphology and reliable characterization of plaque. Its high resolution (10-20µm) offers the unique possibility of identifying clinically important coronary plaque microstructures such as macrophages, the presence and type of thrombus, stent expansion and endothelization and provides accurate assessment of the fibrous cap thickness in high risk plaques. These attributes placed OCT in a unique position as useful tool in research and clinical practice. As a new image modality, many interventional cardiologists are not familiar with its interpretation. In addition, there are only few developed methodologies able to process the OCT data and give comprehensive vessel representation and reliable measurements. Thus, this chapter focuses on the interpretation of OCT images and discusses the available image processing methodologies.

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