Analysis of Tactile Detection and Examination of Simulated Arteries Using a Computational Approach

Abstract

In this study, six basic models have been created in order to investigate stenosis in arteries using tactile sensing: tissue itself, tissue including
a tumor, tissue including a healthy artery, tissue including a stenotic artery, healthy artery out of tissue, and stenotic artery out of tissue. After
solving these models, the stress graphs for the nodes of the models which have key importance for transferring the tactile data were explored. It
was observed that if the stress values of the nodes were constant and equal, the tissue is unlikely to have any tumor or artery embedded. Otherwise,
if the stress graph included a peak, the tissue had a tumor or an artery. Additionally, it was observed that the stress graph of the tissue including an
artery in comparison with the tissue including a tumor is time-dependent. Finally, the variation of the different parameters of this model such as
artery diameter and artery depth on artery detection have been studied.