13 September 2012 Extracting cardiac shapes and motion of the chick embryo heart outflow tract from four-dimensional optical coherence tomography images
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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
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE)
Xin Yin, Aiping Liu, Kent L. Thornburg, Ruikang K. Wang, Sandra Rugonyi, "Extracting cardiac shapes and motion of the chick embryo heart outflow tract from four-dimensional optical coherence tomography images," Journal of Biomedical Optics 17(9), 096005 (13 September 2012). https://doi.org/10.1117/1.JBO.17.9.096005 . Submission:
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