An iterative hyperelastic parameters reconstruction for breast cancer assessment

Hatef Mehrabian; Abbas Samani

doi:10.1117/12.770971

12 March 2008 An iterative hyperelastic parameters reconstruction for breast cancer assessment

Hatef Mehrabian, Abbas Samani

Proceedings Volume 6916, Medical Imaging 2008: Physiology, Function, and Structure from Medical Images; 69161C (2008) https://doi.org/10.1117/12.770971
Event: Medical Imaging, 2008, San Diego, California, United States

Abstract

In breast elastography, breast tissues usually undergo large compressions resulting in significant geometric and structural changes, and consequently nonlinear mechanical behavior. In this study, an elastography technique is presented where parameters characterizing tissue nonlinear behavior is reconstructed. Such parameters can be used for tumor tissue classification. To model the nonlinear behavior, tissues are treated as hyperelastic materials. The proposed technique uses a constrained iterative inversion method to reconstruct the tissue hyperelastic parameters. The reconstruction technique uses a nonlinear finite element (FE) model for solving the forward problem. In this research, we applied Yeoh and Polynomial models to model the tissue hyperelasticity. To mimic the breast geometry, we used a computational phantom, which comprises of a hemisphere connected to a cylinder. This phantom consists of two types of soft tissue to mimic adipose and fibroglandular tissues and a tumor. Simulation results show the feasibility of the proposed method in reconstructing the hyperelastic parameters of the tumor tissue.

Citation Download Citation

Hatef Mehrabian and Abbas Samani "An iterative hyperelastic parameters reconstruction for breast cancer assessment", Proc. SPIE 6916, Medical Imaging 2008: Physiology, Function, and Structure from Medical Images, 69161C (12 March 2008); https://doi.org/10.1117/12.770971

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