Blood flowing state analysis in outflow tract of chick embryonic heart based on spectral domain optical coherence tomography

Yuqian Zhao; Yanyan Suo; Chengbo Liang; Zhenhe Ma

doi:10.1117/12.2209233

9 March 2016 Blood flowing state analysis in outflow tract of chick embryonic heart based on spectral domain optical coherence tomography

Yuqian Zhao, Yanyan Suo, Chengbo Liang, Zhenhe Ma

Author Affiliations +

Proceedings Volume 9716, Optical Methods in Developmental Biology IV; 97160M (2016) https://doi.org/10.1117/12.2209233
Event: SPIE BiOS, 2016, San Francisco, California, United States

Abstract

The cardiac development is a complicated process affected by genetic and environmental factors. Wall shear stress (WSS) and periodic stress (WPS) are the components which have been proved to influence the morphogenesis during early stages of cardiac development. The vessel wall will be deformed by the blood pressure and produce natural elastic force acting on the blood. Because blood flowing in different flow state and show different characteristics of fluid, which influence the calculation of WSS and WPS directly, it is necessary to study the blood flow state. In this paper, we introduce a method to quantify the blood flowing state of early stage chick embryonic heart based on high speed spectral domain optical coherence tomography (SDOCT).4D (x,y,z,t) scan was performed on the outflow tract (OFT) of HH18 (~3 days of incubation) chick embryonic heart. By processing the structural image, the geometric parameters were obtained. Blood flow velocity distribution in the OFT were calculated by Doppler OCT method. Hemodynamic parameters were obtained at different times during the cardiac cycle used biofluid mechanics theory, such as Reynolds number and Womersley number.

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Yuqian Zhao, Yanyan Suo, Chengbo Liang, and Zhenhe Ma "Blood flowing state analysis in outflow tract of chick embryonic heart based on spectral domain optical coherence tomography", Proc. SPIE 9716, Optical Methods in Developmental Biology IV, 97160M (9 March 2016); https://doi.org/10.1117/12.2209233

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KEYWORDS

Blood

Doppler effect

Cardiovascular system

Imaging systems

Stem cells

Image processing

In vivo imaging

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