Mapping the human atria with optical coherence tomography

Theresa H. Lye; Yu Gan; Christine P. Hendon

doi:10.1117/12.2251048

8 February 2017 Mapping the human atria with optical coherence tomography

Theresa H. Lye, Yu Gan, Christine P. Hendon

Proceedings Volume 10042, Diagnostic and Therapeutic Applications of Light in Cardiology; 1004203 (2017) https://doi.org/10.1117/12.2251048
Event: SPIE BiOS, 2017, San Francisco, California, United States

Abstract

Atrial structure plays an important role in the mechanisms of atrial disease. However, detailed imaging of human atria remains limited due to many imaging modalities lacking sufficient resolution. We propose the use of optical coherence tomography (OCT), which has micrometer resolution and millimeter-scale imaging depth well-suited for the atria, combined with image stitching algorithms, to develop large, detailed atria image maps. Human atria samples (n = 7) were obtained under approved protocols from the National Disease Research Interchange (NDRI). One right atria sample was imaged using an ultrahigh-resolution spectral domain OCT system, with 5.52 and 2.72 μm lateral and axial resolution in air, respectively, and 1.78 mm imaging depth. Six left atria and five pulmonary vein samples were imaged using the spectral domain OCT system, Telesto I (Thorlabs GmbH, Germany) with 15 and 6.5 μm lateral and axial resolution in air, respectively, and 2.51 mm imaging depth. Overlapping image volumes were obtained from areas of the human left and right atria and the pulmonary veins. Regions of collagen, adipose, and myocardium could be identified within the OCT images. Image stitching was applied to generate fields of view with side dimensions up to about 3 cm. This study established steps towards mapping large regions of the human atria and pulmonary veins in high resolution using OCT.

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Theresa H. Lye, Yu Gan, and Christine P. Hendon "Mapping the human atria with optical coherence tomography", Proc. SPIE 10042, Diagnostic and Therapeutic Applications of Light in Cardiology, 1004203 (8 February 2017); https://doi.org/10.1117/12.2251048

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KEYWORDS

Optical coherence tomography

Tissues

Veins

Heart

Collagen

Imaging systems

Natural surfaces

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