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Sensors 2015, 15(3), 6306-6323; doi:10.3390/s150306306

Bio-Optics Based Sensation Imaging for Breast Tumor Detection Using Tissue 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.
Academic Editor: Gary R. Pickrell
Received: 4 January 2015 / Revised: 2 March 2015 / Accepted: 4 March 2015 / Published: 16 March 2015
(This article belongs to the Special Issue Optical Sensors for Chemical, Biological and Industrial Applications)
View Full-Text   |   Download PDF [2502 KB, uploaded 16 March 2015]   |  

Abstract

The tissue inclusion parameter estimation method is proposed to measure the stiffness as well as geometric parameters. The estimation is performed based on the tactile data obtained at the surface of the tissue using an optical tactile sensation imaging system (TSIS). A forward algorithm is designed to comprehensively predict the tactile data based on the mechanical properties of tissue inclusion using finite element modeling (FEM). This forward information is used to develop an inversion algorithm that will be used to extract the size, depth, and Young's modulus of a tissue inclusion from the tactile data. We utilize the artificial neural network (ANN) for the inversion algorithm. The proposed estimation method was validated by a realistic tissue phantom with stiff inclusions. The experimental results showed that the proposed estimation method can measure the size, depth, and Young's modulus of a tissue inclusion with 0.58%, 3.82%, and 2.51% relative errors, respectively. The obtained results prove that the proposed method has potential to become a useful screening and diagnostic method for breast cancer. View Full-Text
Keywords: tumor detection; artificial palpation; lesion characterization; tactile sensor; biomimetic sensor; Young’s modulus tumor detection; artificial palpation; lesion characterization; tactile sensor; biomimetic sensor; Young’s modulus
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Lee, J.-H.; Kim, Y.N.; Park, H.-J. Bio-Optics Based Sensation Imaging for Breast Tumor Detection Using Tissue Characterization. Sensors 2015, 15, 6306-6323.

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