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Proceedings Paper

Tissue elasticity measurement method using forward and inversion algorithms
Author(s): Jong-Ha Lee; Chang-Hee Won; Hee-Jun Park; Jeonghun Ku; Yun Seok Heo; Yoon-Nyun Kim
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Paper Abstract

Elasticity is an important indicator of tissue health, with increased stiffness pointing to an increased risk of cancer. We investigated a tissue elasticity measurement method using forward and inversion algorithms for the application of early breast tumor identification. An optical based elasticity measurement system is developed to capture images of the embedded lesions using total internal reflection principle. From elasticity images, we developed a novel method to estimate the elasticity of the embedded lesion using 3-D finite-element-model-based forward algorithm, and neural-network-based inversion algorithm. The experimental results showed that the proposed characterization method can be diffierentiate the benign and malignant breast lesions.

Paper Details

Date Published: 13 March 2013
PDF: 8 pages
Proc. SPIE 8574, Multimodal Biomedical Imaging VIII, 85740E (13 March 2013); doi: 10.1117/12.2001945
Show Author Affiliations
Jong-Ha Lee, Keimyung Univ. (Korea, Republic of)
Chang-Hee Won, Temple Univ. (United States)
Hee-Jun Park, Keimyung Univ. (Korea, Republic of)
Jeonghun Ku, Keimyung Univ. (Korea, Republic of)
Yun Seok Heo, Keimyung Univ. (Korea, Republic of)
Yoon-Nyun Kim, Keimyung Univ. (Korea, Republic of)

Published in SPIE Proceedings Vol. 8574:
Multimodal Biomedical Imaging VIII
Fred S. Azar; Xavier Intes, Editor(s)

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