Modeling of Tactile Detection of an Artery in a Soft Tissue by Finite Element Analysis

Document Type : Research Article

Authors

1 A. Abouei Mehrizi is with the Faculty of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran (email: abouei.ali@gmail.com).

2 Corresponding Author, S. Najarian is with the Faculty of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran (email: najarian@aut.ac.ir).

3 M. Moini is with Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran (email: moinim@hotmail.com)

Abstract

Nowadays, one of the main problems encountered in minimally invasive surgery and telesurgery is the detection of arteries in tissue. In this study, for the first time, tactile detection of an artery in tissue and distinguishing it from the tumor has been modeled by finite element method. In this modeling, three 2D models of tissue have been created: tissue, tissue including a tumor, and tissue including an artery. After solving three models with similar boundary conditions and loadings, first, the 2D tactile mappings and stress graphs for upper nodes of models, which have the role of transferring tactile data, have been explored. Comparing these results, if stress values of nodes are equal and constant, tissue is without tumor or artery. In addition, it was concluded that if stress graph includes a peak, the tissue has a tumor or an artery and that the stress graph of tissue including artery is time-dependent in comparison with the tissue including the tumor.

Keywords

References

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S. M. Hosseini, S. Najarian, S. Motaghinasab, and S. Torabi, "Experimental and numerical verification of artificial tactile sensing approach for predicting tumor existence in virtual soft 
AUT Journal of Electrical Engineering
Volume 41, Issue 2 - Serial Number 2
November 2009
Pages 59-63

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