Mr. Darnel Theagene Profile

Darnel Theagene

at Columbia Univ

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Proceedings Article | 25 February 2020 Paper

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

Theresa Lye, Darnel Theagene, Charles Marboe, Christine Hendon

Proceedings Volume 11215, 1121508 (2020) https://doi.org/10.1117/12.2544942

KEYWORDS: Tissues, Optical coherence tomography, Collagen, Heart, Feature extraction, Atrial fibrillation, Cardiac imaging

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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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