Bio-Optics Based Sensation Imaging for Breast Tumor Detection Using Tissue Characterization

Sensors

Jong-Ha Lee¹  Hee-Jun Park¹  Yoon Nyun Kim² 

[1] Department of Biomedical Engineering, School of Medicine, Keimyung University, 1095,Dalgubeol-daero, Daegu 704-701, Korea;Department of Internal Medicine, Dongsan Medical Center, Keimyung University, 1095,Dalgubeol-daero, Daegu 704-701, Korea;

关键词: tumor detection;    artificial palpation;    lesion characterization;    tactile sensor;    biomimetic sensor;    Young’s modulus;   

DOI  :  10.3390/s150306306

来源: DOAJ

【 摘 要 】

The tissue inclusion parameter estimation method is proposed tomeasure the stiffness as well as geometric parameters. The estimation isperformed based on the tactile data obtained at the surface of thetissue using an optical tactile sensation imaging system (TSIS). Aforward algorithm is designed to comprehensively predict the tactiledata based on the mechanical properties of tissue inclusion using finiteelement modeling (FEM). This forward information is used to develop aninversion algorithm that will be used to extract the size, depth, andYoung's modulus of a tissue inclusion from the tactile data. We utilizethe artificial neural network (ANN) for the inversion algorithm. Theproposed estimation method was validated by a realistic tissue phantomwith stiff inclusions. The experimental results showed that the proposedestimation method can measure the size, depth, and Young's modulus of atissue inclusion with 0.58%, 3.82%, and 2.51% relative errors,respectively. The obtained results prove that the proposed method haspotential to become a useful screening and diagnostic method for breastcancer.

【 授权许可】

Unknown