Thadé P. M. Goderie

TL;DR: This work presents a framework to enable systematic and automatic classification of atherosclerotic plaque constituents, based on the optical attenuation coefficient mu(t) of the tissue, and successfully applies the algorithm to OCT patient data.

TL;DR: In this paper, the authors presented a framework to enable systematic and auto-matic classification of atherosclerotic plaque constituents, based on the optical attenuation coefficient t of the tis- sue.

TL;DR: Intravascular optical coherence tomography (OCT) is a recent technique that is used for coronary plaque characterization, and is rapidly gaining momentum.

TL;DR: This study was performed to characterize coronary plaque types by optical coherence tomography (OCT) and intravascular ultrasound (IVUS) radiofrequency (RF) data analysis, and to investigate the possibility of error reduction by combining these techniques.

TL;DR: A method for quantitative classification of atherosclerotic plaque constituents, based on the optical attenuation coefficient μt, is developed, which distinguishes different tissue types: necrotic core and macrophage infiltration exhibit strong attenuation, while calcific and fibrous tissue have a lower μt≈2–5 mm−1.