Tissue elasticity measurement method using forward and inversion algorithms

Jong-Ha Lee; Chang-Hee Won; Hee-Jun Park; Jeonghun Ku; Yun Seok Heo; Yoon-Nyun Kim

doi:10.1117/12.2001945

13 March 2013 Tissue elasticity measurement method using forward and inversion algorithms

Jong-Ha Lee, Chang-Hee Won, Hee-Jun Park, Jeonghun Ku, Yun Seok Heo, Yoon-Nyun Kim

Proceedings Volume 8574, Multimodal Biomedical Imaging VIII; 85740E (2013) https://doi.org/10.1117/12.2001945
Event: SPIE BiOS, 2013, San Francisco, California, United States

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.

Citation Download Citation

Jong-Ha Lee, Chang-Hee Won, Hee-Jun Park, Jeonghun Ku, Yun Seok Heo, and Yoon-Nyun Kim "Tissue elasticity measurement method using forward and inversion algorithms", Proc. SPIE 8574, Multimodal Biomedical Imaging VIII, 85740E (13 March 2013); https://doi.org/10.1117/12.2001945

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