Paper
13 March 2009 Constrained hyperelastic parameters reconstruction of PVA (Polyvinyl Alcohol) phantom undergoing large deformation
Hatef Mehrabian, Abbas Samani
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Abstract
The nonlinear mechanical behavior of tissues that undergo large deformations, e.g. the breast, is characterized by hyperelastic parameters. These parameters take into account both types of nonlinearities: tissue intrinsic nonlinearity and geometric nonlinearity. Elastography technique capable of tissue hyperelastic parameter reconstruction has important clinical applications such as cancer diagnosis and interventional procedure planning. In this study we report our progress on the development of constrained reconstruction technique of breast tissue hyperelastic parameters [1]. The extension of this work is twofold: the inclusion of the popular Veronda-Westmann hyperelastic model and using a novel technique for tissue displacement tracking. This tracking technique is based on the Horn-Schunck optical flow method [2]. The objective of this paper is to validate the numerical analysis performed in [1] by phantom experiment. For this purpose, a PVA (Polyvinyl Alcohol) phantom that consists of three tissue types was constructed and tested. PVA exhibits nonlinear mechanical behavior and has been recently used for tissue mimicking purposes. Reconstruction results showed that it is feasible to find the relative hyperelastic parameters of the tissue with acceptable accuracy. The error reported for the relative parameter reconstruction was less than 20%, which may be sufficient for cancer diagnosis purposes.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hatef Mehrabian and Abbas Samani "Constrained hyperelastic parameters reconstruction of PVA (Polyvinyl Alcohol) phantom undergoing large deformation", Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 72612G (13 March 2009); https://doi.org/10.1117/12.813871
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Cited by 15 scholarly publications.
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KEYWORDS
Tissues

Tumors

Breast

Elastography

3D modeling

Cancer

Breast cancer

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