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ABSTRACT

Vascular Deformation Analysis Based on in Vivo Intravascular Optical Coherence Tomography Imaging

Ju Huang1, Cuiru Sun1,*

1 Department of Mechanical Engineering, Tianjin University, Tianjin, 300350, China.
* Corresponding Author: Cuiru Sun. Email: carry_sun @ tju.edu.cn.

Molecular & Cellular Biomechanics 2019, 16(Suppl.1), 67-68. https://doi.org/10.32604/mcb.2019.05738

Abstract

Intravascular optical coherence tomography (OCT) has the characteristics of high resolution and fast imaging speed. Continuous images of the same section of the same vessel can reflect the deformation characteristics of the vessel wall under different blood pressure. Digital image processing may be used to segment various structures on the vascular wall and extract the deformation incorporating with biomechanical analysis. Image filtering plays a very important role in image processing. Median filter was used to filter salt and pepper noise in OCT images. Fuzzy function gray processing method was used to suppress irrelevant information and improve image clarity. Dividing point and line method was proposed to calculate the deformation and strain field.

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APA Style
Huang, J., Sun, C. (2019). Vascular deformation analysis based on in vivo intravascular optical coherence tomography imaging . Molecular & Cellular Biomechanics, 16(Suppl.1), 67-68. https://doi.org/10.32604/mcb.2019.05738
Vancouver Style
Huang J, Sun C. Vascular deformation analysis based on in vivo intravascular optical coherence tomography imaging . Mol Cellular Biomechanics . 2019;16(Suppl.1):67-68 https://doi.org/10.32604/mcb.2019.05738
IEEE Style
J. Huang and C. Sun, “Vascular Deformation Analysis Based on in Vivo Intravascular Optical Coherence Tomography Imaging ,” Mol. Cellular Biomechanics , vol. 16, no. Suppl.1, pp. 67-68, 2019. https://doi.org/10.32604/mcb.2019.05738



cc Copyright © 2019 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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