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.

Date Published: 13 March 2013
PDF: 8 pages
Proc. SPIE 8574, Multimodal Biomedical Imaging VIII, 85740E (13 March 2013); doi: 10.1117/12.2001945

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