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Journal of Biomedical Optics

Extracting cardiac shapes and motion of the chick embryo heart outflow tract from four-dimensional optical coherence tomography images
Author(s): Xin Yin; Aiping Liu; Kent L. Thornburg; Ruikang K. Wang; Sandra Rugonyi
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Paper Abstract

Recent advances in optical coherence tomography (OCT), and the development of image reconstruction algorithms, enabled four-dimensional (4-D) (three-dimensional imaging over time) imaging of the embryonic heart. To further analyze and quantify the dynamics of cardiac beating, segmentation procedures that can extract the shape of the heart and its motion are needed. Most previous studies analyzed cardiac image sequences using manually extracted shapes and measurements. However, this is time consuming and subject to inter-operator variability. Automated or semi-automated analyses of 4-D cardiac OCT images, although very desirable, are also extremely challenging. This work proposes a robust algorithm to semi automatically detect and track cardiac tissue layers from 4-D OCT images of early (tubular) embryonic hearts. Our algorithm uses a two-dimensional (2-D) deformable double-line model (DLM) to detect target cardiac tissues. The detection algorithm uses a maximum-likelihood estimator and was successfully applied to 4-D <italic<in vivo</italic< OCT images of the heart outflow tract of day three chicken embryos. The extracted shapes captured the dynamics of the chick embryonic heart outflow tract wall, enabling further analysis of cardiac motion.

Paper Details

Date Published: 13 September 2012
PDF: 10 pages
J. Biomed. Opt. 17(9) 096005 doi: 10.1117/1.JBO.17.9.096005
Published in: Journal of Biomedical Optics Volume 17, Issue 9
Show Author Affiliations
Xin Yin, Oregon Health & Science Univ. (United States)
Aiping Liu, Univ. of Wisconsin-Madison (United States)
Kent L. Thornburg, Oregon Health & Science Univ. (United States)
Ruikang K. Wang, Univ. of Washington (United States)
Sandra Rugonyi, Oregon Health & Science Univ. (United States)


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