Tactile Sensation Imaging Technique for Embedded Lesion Detection
Hemalatha R1, Poorvi K C2, Dharmalingam M3
1Hemalatha R, Applied Electronics, Kongunadu College of Engineering and Technology, Trichy, India.
2Poorvi K C, Applied Electronics, Kongunadu College of Engineering and Technology, Trichy , India.
3Dharmalingam M, HOD, Department of ECE, Kongunadu College of Engineering and Technology, Trichy, India.
Manuscript received on October 11, 2013. | Revised Manuscript received on October 15, 2013. | Manuscript published on October 25, 2013. | PP:70-72 | Volume-1, Issue-12, October 2013. | Retrieval Number: L04881011213/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper we proposed tactile sensation imaging technique with supple waveguide and total internal reflection principle. The technique can also be used to detect and identify enclosures within tissues. In order to examine the performance of the proposed sensor, a realistic tissue vision with inclusions are integrated to emulate the tumors models. The proposed tactile imaging sensor can be implemented within inclusion diameter of 4.09% and the inclusion depth within 7.55%. From the planned characterization method the size, depth, and Young’s modulus values are calculated using FEM and LMA algorithm.
Keywords: Tactile sensation imaging, Inclusion, FEM, LMA, Total internal Reflection.