Tissue characterization with depth-resolved attenuation coefficient and backscatter term in intravascular optical coherence tomography images

Shengnan Liu; Yohei Sotomi; Jeroen Eggermont; Gaku Nakazawa; Sho Torii; Takeshi Ijichi M.D.; Yoshinobu Onuma M.D.; Patrick W. Serruys M.D.; Boudewijn P. F. Lelieveldt; Jouke Dijkstra

doi:10.1117/1.JBO.22.9.096004

12 September 2017 Tissue characterization with depth-resolved attenuation coefficient and backscatter term in intravascular optical coherence tomography images

Shengnan Liu, Yohei Sotomi, Jeroen Eggermont, Gaku Nakazawa, Sho Torii, Takeshi Ijichi M.D., Yoshinobu Onuma M.D., Patrick W. Serruys M.D., Boudewijn P. F. Lelieveldt, Jouke Dijkstra

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Journal of Biomedical Optics, Vol. 22, Issue 9, 096004 (September 2017). https://doi.org/10.1117/1.JBO.22.9.096004

Abstract

An important application of intravascular optical coherence tomography (IVOCT) for atherosclerotic tissue analysis is using it to estimate attenuation and backscatter coefficients. This work aims at exploring the potential of the attenuation coefficient, a proposed backscatter term, and image intensities in distinguishing different atherosclerotic tissue types with a robust implementation of depth-resolved (DR) approach. Therefore, the DR model is introduced to estimate the attenuation coefficient and further extended to estimate the backscatter-related term in IVOCT images, such that values can be estimated per pixel without predefining any delineation for the estimation. In order to exclude noisy regions with a weak signal, an automated algorithm is implemented to determine the cut-off border in IVOCT images. The attenuation coefficient, backscatter term, and the image intensity are further analyzed in regions of interest, which have been delineated referring to their pathology counterparts. Local statistical values were reported and their distributions were further compared with a two-sample t-test to evaluate the potential for distinguishing six types of tissues. Results show that the IVOCT intensity, DR attenuation coefficient, and backscatter term extracted with the reported implementation are complementary to each other on characterizing six tissue types: mixed, calcification, fibrous, lipid-rich, macrophages, and necrotic core.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Shengnan Liu, Yohei Sotomi, Jeroen Eggermont, Gaku Nakazawa, Sho Torii, Takeshi Ijichi M.D., Yoshinobu Onuma M.D., Patrick W. Serruys M.D., Boudewijn P. F. Lelieveldt, and Jouke Dijkstra "Tissue characterization with depth-resolved attenuation coefficient and backscatter term in intravascular optical coherence tomography images," Journal of Biomedical Optics 22(9), 096004 (12 September 2017). https://doi.org/10.1117/1.JBO.22.9.096004

Received: 6 June 2017; Accepted: 21 August 2017; Published: 12 September 2017

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