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ABSTRACT

Numerical Simulation of the Granulation Tissue Resection Operation in Human Trachea

Zhiguo Zhang1,*, Chen Jiang2

1 Jiangsu Key Laboratory of Special Robot Technology, College of Mechanical and Electrical Engineering, Hohai University, No. 200.Jinling North Road, Xinbei, Changzhou, 213022, China.
2 School of Mechanical Engineering, Changzhou University, No 1.Gehu Road, Wujin, Changzhou, 213164, China.
* Corresponding Author: Zhiguo Zhang. Email: zhangzg@hhu.edu.cn.

Molecular & Cellular Biomechanics 2019, 16(Suppl.1), 83-84. https://doi.org/10.32604/mcb.2019.05749

Abstract

To quantitatively analyze the aerodynamic changes in patient's trachea after the resection operation of hyperplastic granulation tissue, computational fluid dynamic (CFD) method was utilized to perform the simulation. Firstly, three dimensional finite element model of the patient’s trachea before and after surgery were reconstructed based on CT images; secondly, the numerical simulation based on CFD method was performed to investigate the changes in aerodynamic changes in patient's trachea after excision. Results indicated that the dyspnea symptom was largely alleviated after the removal surgery, the abnormal morphology was obviously improved and the resistance of trachea was decreased significantly. Present research also demonstrates that CFD methods can be used to quantitatively evaluate the postoperative effects of the granulation tissue resection operation.

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APA Style
Zhang, Z., , C.J. (2019). Numerical simulation of the granulation tissue resection operation in human trachea . Molecular & Cellular Biomechanics, 16(Suppl.1), 83-84. https://doi.org/10.32604/mcb.2019.05749
Vancouver Style
Zhang Z, CJ. Numerical simulation of the granulation tissue resection operation in human trachea . Mol Cellular Biomechanics . 2019;16(Suppl.1):83-84 https://doi.org/10.32604/mcb.2019.05749
IEEE Style
Z. Zhang and C.J. , "Numerical Simulation of the Granulation Tissue Resection Operation in Human Trachea ," Mol. Cellular Biomechanics , vol. 16, no. Suppl.1, pp. 83-84. 2019. https://doi.org/10.32604/mcb.2019.05749



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