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Sensors 2013, 13(8), 11097-11113; doi:10.3390/s130811097

Optical-Based Artificial Palpation Sensors for Lesion Characterization

1
Department of Biomedical Engineering, School of Medicine, Keimyung University, 1095, Dalgubeol-daero, Daegu 704-701, Korea
2
Department of Internal Medicine, Dongsan Medical Center, Keimyung University, 1095, Dalgubeol-daero, Daegu 704-701, Korea
*
Author to whom correspondence should be addressed.
Received: 9 July 2013 / Revised: 2 August 2013 / Accepted: 5 August 2013 / Published: 21 August 2013
(This article belongs to the Section Biosensors)
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Abstract

Palpation techniques are widely used in medical procedures to detect the presence of lumps or tumors in the soft breast tissues. Since these procedures are very subjective and depend on the skills of the physician, it is imperative to perform detailed a scientific study in order to develop more efficient medical sensors to measure and generate palpation parameters. In this research, we propose an optical-based, artificial palpation sensor for lesion characterization. This has been developed using a multilayer polydimethylsiloxane optical waveguide. Light was generated at the critical angle to reflect totally within the flexible and transparent waveguide. When a waveguide was compressed by an external force, its contact area would deform and cause the light to scatter. The scattered light was captured by a high-resolution camera and saved as an image format. To test the performance of the proposed system, we used a realistic tissue phantom with embedded hard inclusions. The experimental results show that the proposed sensor can detect inclusions and provide the relative value of size, depth, and Young’s modulus of an inclusion. View Full-Text
Keywords: tumor detection; artificial palpation; lesion characterization; optical sensor; tactile sensor; young’s modulus tumor detection; artificial palpation; lesion characterization; optical sensor; tactile sensor; young’s modulus
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Lee, J.-H.; Kim, Y.N.; Ku, J.; Park, H.-J. Optical-Based Artificial Palpation Sensors for Lesion Characterization. Sensors 2013, 13, 11097-11113.

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