계명대학교 의학도서관 Repository

Elasticity Signal and Image Processing Sensor and Algorithms for Tissue Characterization

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Author(s)
Jong-Ha LEEHee-Jun PARKNyeon-Sik EUMHyuk-Jun YoonYoon-Nyun KIM
Keimyung Author(s)
Lee, Jong HaPark, Hee JunYoon, Hyuck JunKim, Yoon Nyun
Department
Dept. of Biomedical Engineering (의용공학과)
Dept. of Internal Medicine (내과학)
Journal Title
Sensors & Transducers
Issued Date
2014
Volume
163
Issue
1
Keyword
Tumor detectionArtificial palpationLesion characterizationElasticity sensorBiomimetic sensorYoung’s modulus
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 elasticity image obtained at the surface of the tissue using an optical based elasticity imaging sensor. A forward algorithm is designed to comprehensively predict the elasticity image based on the mechanical properties of tissue inclusion using finite element modeling. 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 elasticity image. We utilize the artificial neural network (ANN) for inversion algorithm. The proposed estimation method was validated by the 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%, 1.12%, and 0.51% relative errors, respectively. A small-scale of breast cancer patient experiments is also presented. The obtained results prove that the proposed method has potential to become a screening and diagnostic method for breast tumor.
Keimyung Author(s)(Kor)
이종하
박희준
윤혁준
김윤년
Publisher
School of Medicine
Citation
Jong-Ha LEE et al. (2014). Elasticity Signal and Image Processing Sensor and Algorithms for Tissue Characterization. Sensors & Transducers, 163(1), 330–336.
Type
Article
ISSN
2306-8515
URI
https://kumel.medlib.dsmc.or.kr/handle/2015.oak/34391
Appears in Collections:
1. School of Medicine (의과대학) > Dept. of Biomedical Engineering (의용공학과)
1. School of Medicine (의과대학) > Dept. of Internal Medicine (내과학)
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