Quantifying differences in cardiac tissue structure related to patient characteristics using an optical coherence tomography cardiac tissue atlas

Theresa H. Lye; Darnel Theagene; Charles C. Marboe; Christine P. Hendon

doi:10.1117/12.2544942

25 February 2020 Quantifying differences in cardiac tissue structure related to patient characteristics using an optical coherence tomography cardiac tissue atlas

Theresa H. Lye, Darnel Theagene, Charles C. Marboe, Christine P. Hendon

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Proceedings Volume 11215, Diagnostic and Therapeutic Applications of Light in Cardiology 2020; 1121508 (2020) https://doi.org/10.1117/12.2544942
Event: SPIE BiOS, 2020, San Francisco, California, United States

Abstract

Optical coherence tomography (OCT) is capable of resolving detailed features of human cardiac tissue. However, prior studies have not analyzed OCT-imaged tissue architecture with respect to medical history and demographics, which could enable insight on differences between patient populations. Therefore, the objective of this study was to extract quantitative features from cardiac OCT images and compare features based on donor characteristics. Fifty human hearts with varying cardiac disease were acquired and imaged with the TELESTO I OCT system (Thorlabs GmbH, Germany). Trichrome histology was obtained to verify tissue composition, and 573 matches were made between OCT b-scans and histology. Eight quantitative image features; attenuation coefficient, contrast, correlation, energy, homogeneity, standard deviation, skewness, and kurtosis; were extracted from 320 by 160 μm regions of interest (ROI) within each B-scan, such that each unique tissue type within a B-scan was included in one ROI. Afterwards, groups of tissue features, based on donor characteristics, were compared using Welch’s unpaired t-test with an alpha value of 0.05. Tissue features were also correlated to age and body mass index using Pearson’s correlation coefficient. For the majority of the data, no significant differences were found, and correlation to age and body mass index were low. The majority of significant differences were found between groups with and without history of hypertension, and groups with or without myocardial infarction. These results provide an initial investigation of the relationship between OCT image features of different tissue types in the human heart with patient medical history and demographics.

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Theresa H. Lye, Darnel Theagene, Charles C. Marboe, and Christine P. Hendon "Quantifying differences in cardiac tissue structure related to patient characteristics using an optical coherence tomography cardiac tissue atlas", Proc. SPIE 11215, Diagnostic and Therapeutic Applications of Light in Cardiology 2020, 1121508 (25 February 2020); https://doi.org/10.1117/12.2544942

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KEYWORDS

Tissues

Optical coherence tomography

Collagen

Heart

Feature extraction

Atrial fibrillation

Cardiac imaging

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