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

Abouei Mehrizi, Ali; Najarian, Siamak; Moiniiii, Majid

doi:10.22060/eej.2009.285

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	Modeling of Tactile Detection of an Artery in a Soft Tissue by Finite Element Analysis
Article 7, Volume 41, Issue 2, Summer and Autumn 2009, Page 59-63 PDF (288 K)
Document Type: Research Article
DOI: 10.22060/eej.2009.285
Authors
Ali Abouei Mehrizi¹; Siamak Najarian²; Majid Moiniiii³
¹A. Abouei Mehrizi is with the Faculty of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran (email: abouei.ali@gmail.com).
²Corresponding Author, S. Najarian is with the Faculty of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran (email: najarian@aut.ac.ir).
³M. 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
Soft tissue; tumor; artery; tactile detection; Finite Element Method (FEM)


References
[1] M. E. H. Eltaib and J. R. Hewit, "Tactile sensing technology for minimal access surgery-a review", Mechatronics, vol. 13, p.p. 1163-1177, 2003. [2] W. J. Peine, "Remote palpation instruments for minimally invasive surgery," Ph.D. dissertation, Div. of Eng. and Appl. Sci., HarvardUniversity, 1998. [3] J. Dargahi and S. Najarian, "Human tactile perception as a standard for artificial tactile sensing- a review”, Inter. J. of Med. Rob. Comp. Ass. Surg., vol. 1, pp. 23-35, 2004. [4] J. Dargahi and S. Najarian, "Advances in tactile sensors design, manufacturing, and its impact on robotics application - review", Indus. Rob.: An Inter. J., vol. 32/3, pp. 268-281, 2005. [5] J. Dargahi and S. Najarian, "Human tactile perception as a standard for artificial tactile sensing- a review", Inter. J. of Med. Rob. Comp. Ass. Surg., vol. 1, pp. 23-35, 2004. [6] J. Dargahi and S. Najarian, "A Supported membrane type sensor for medical tactile mapping", Sensor Review, vol. 24, pp. 284-297, 2004. [7] S. M. Hosseini, S. Najarian, S. Motaghinasab, and J. Dargahi, "Detection of tumors using computational tactile sensing approach", Inter. J. of Med. Rob. Comp. Ass. Surg., vol. 2, no. 4, p.p. 333-340, 2006. [8] S. M. Hosseini, S. Najarian, S. Motaghinasab, "Analysis of effects of tumors in tissue using of artificial tactile modeling", Amirkabir Journal, to be published. 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
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