Key result
Spectroscopic OCT detects lipid-rich plaques with ~94% sensitivity in an atherosclerotic rabbit model.
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Intravascular optical coherence tomography (IV-OCT) is a high-resolution imaging method used to visualize the internal structures of walls of coronary arteries in vivo. However, accurate characterization of atherosclerotic plaques with gray-scale IV-OCT images is often limited by various intrinsic artifacts. In this study, we present an algorithm for characterizing lipid-rich plaques with a spectroscopic OCT technique based on a Gaussian center of mass (GCOM) metric. The GCOM metric, which reflects the absorbance properties of lipids, was validated using a lipid phantom. In addition, the proposed characterization method was successfully demonstrated in vivo using an atherosclerotic rabbit model and was found to have a sensitivity and specificity of 94.3% and 76.7% for lipid classification, respectively.
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Nam et al. (2016) studied Lipid-rich atherosclerotic plaques. Spectroscopic OCT with Gaussian center of mass (GCOM) metric algorithm was evaluated on Sensitivity and specificity for lipid classification (Sensitivity 94.3%, Specificity 76.7%). Spectroscopic OCT using a Gaussian center of mass metric achieved 94.3% sensitivity and 76.7% specificity for characterizing lipid-rich plaques in an atherosclerotic rabbit model.
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