Processing to determine optical parameters of atherosclerotic disease from phantom and clinical intravascular optical coherence tomography three-dimensional pullbacks

Ronny Y. Shalev; Madhusudhana Gargesha; David Prabhu; Kentaro Tanaka; Andrew M. Rollins; Guy Lamouche; Charles-Etienne Bisaillon; Hiram G. Bezerra; Soumya Ray; David L. Wilson

doi:10.1117/1.JMI.3.2.024501

13 May 2016 Processing to determine optical parameters of atherosclerotic disease from phantom and clinical intravascular optical coherence tomography three-dimensional pullbacks

Ronny Y. Shalev, Madhusudhana Gargesha, David Prabhu, Kentaro Tanaka, Andrew M. Rollins, Guy Lamouche, Charles-Etienne Bisaillon, Hiram G. Bezerra, Soumya Ray, David L. Wilson

Author Affiliations +

Journal of Medical Imaging, Vol. 3, Issue 2, 024501 (May 2016). https://doi.org/10.1117/1.JMI.3.2.024501

Abstract

Analysis of intravascular optical coherence tomography (IVOCT) data has potential for real-time in vivo plaque classification. We developed a processing pipeline on a three-dimensional local region of support for estimation of optical properties of atherosclerotic plaques from coronary artery, IVOCT pullbacks. Using realistic coronary artery disease phantoms, we determined insignificant differences in mean and standard deviation estimates between our pullback analyses and more conventional processing of stationary acquisitions with frame averaging. There was no effect of tissue depth or oblique imaging on pullback parameter estimates. The method’s performance was assessed in comparison with observer-defined standards using clinical pullback data. Values (calcium 3.58±1.74 mm−¹, lipid 9.93±2.44 mm−¹, and fibrous 1.96±1.11 mm−¹) were consistent with previous measurements obtained by other means. Using optical parameters (μ_t, 〈I〉, I₀), we achieved feature space separation of plaque types and classification accuracy of 92.5±3%. Despite the rapid z motion and varying incidence angle in pullbacks, the proposed computational pipeline appears to work as well as a more standard “stationary” approach.

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Ronny Y. Shalev, Madhusudhana Gargesha, David Prabhu, Kentaro Tanaka, Andrew M. Rollins, Guy Lamouche, Charles-Etienne Bisaillon, Hiram G. Bezerra, Soumya Ray, and David L. Wilson "Processing to determine optical parameters of atherosclerotic disease from phantom and clinical intravascular optical coherence tomography three-dimensional pullbacks," Journal of Medical Imaging 3(2), 024501 (13 May 2016). https://doi.org/10.1117/1.JMI.3.2.024501

Published: 13 May 2016

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