Automatic Endocardial Cushion Segmentation and EMT Cell Density Characterization Using Optical Coherence Tomography

Shan Ling; Maryse Lapierre-Landry; Stephanie M. Ford; Michael W. Jenkins; Michiko Watanabe; Andrew M. Rollins

doi:10.1117/12.2583285

5 March 2021 Automatic Endocardial Cushion Segmentation and EMT Cell Density Characterization Using Optical Coherence Tomography

Shan Ling, Maryse Lapierre-Landry, Stephanie M. Ford, Michael W. Jenkins, Michiko Watanabe, Andrew M. Rollins

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Proceedings Volume 11621, Diagnostic and Therapeutic Applications of Light in Cardiology 2021; 1162106 (2021) https://doi.org/10.1117/12.2583285
Event: SPIE BiOS, 2021, Online Only

Abstract

Optical coherence tomography (OCT) has been applied for understanding heart development because of its capability of imaging both the structure and function of tiny beating embryonic hearts. Labeling endocardial cushions is necessary for quantifying morphological characteristics of the looping hearts. Since manual segmentation is time-consuming and prone to subjectivity, this study aims to use V-net to automatically segment endocardial cushions from OCT images. This will benefit research on heart development, especially studies requiring large cohorts of embryos, for example those investigating the teratogenic effects of ethanol or drugs and the prevention of these effects on the developing hearts.

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Shan Ling, Maryse Lapierre-Landry, Stephanie M. Ford, Michael W. Jenkins, Michiko Watanabe, and Andrew M. Rollins "Automatic Endocardial Cushion Segmentation and EMT Cell Density Characterization Using Optical Coherence Tomography", Proc. SPIE 11621, Diagnostic and Therapeutic Applications of Light in Cardiology 2021, 1162106 (5 March 2021); https://doi.org/10.1117/12.2583285

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KEYWORDS

Image segmentation

Optical coherence tomography

Heart

Data modeling

Image processing

3D modeling

Bioalcohols

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