Quantitative characterization of viscoelastic behavior in tissue-mimicking phantoms and ex vivo animal tissues

Male General Science & Technology Swine Science Biomedical Engineering 610 Bioengineering Phantoms Imaging Rats, Sprague-Dawley 03 medical and health sciences Engineering 0302 clinical medicine Models Animals Animal Phantoms, Imaging Viscosity Liver Disease Q R 600 Elasticity 4.1 Discovery and preclinical testing of markers and technologies Rats Models, Animal Biomedical Imaging Medicine Sprague-Dawley Digestive Diseases Research Article
DOI: 10.1371/journal.pone.0191919 Publication Date: 2018-01-26T13:29:56Z
ABSTRACT
Viscoelasticity of soft tissue is often related to pathology, and therefore, has become an important diagnostic indicator in the clinical assessment of suspect tissue. Surgeons, particularly within head and neck subsites, typically use palpation techniques for intra-operative tumor detection. This detection method, however, is highly subjective and often fails to detect small or deep abnormalities. Vibroacoustography (VA) and similar methods have previously been used to distinguish tissue with high-contrast, but a firm understanding of the main contrast mechanism has yet to be verified. The contributions of tissue mechanical properties in VA images have been difficult to verify given the limited literature on viscoelastic properties of various normal and diseased tissue. This paper aims to investigate viscoelasticity theory and present a detailed description of viscoelastic experimental results obtained in tissue-mimicking phantoms (TMPs) and ex vivo tissues to verify the main contrast mechanism in VA and similar imaging modalities. A spherical-tip micro-indentation technique was employed with the Hertzian model to acquire absolute, quantitative, point measurements of the elastic modulus (E), long term shear modulus (η), and time constant (τ) in homogeneous TMPs and ex vivo tissue in rat liver and porcine liver and gallbladder. Viscoelastic differences observed between porcine liver and gallbladder tissue suggest that imaging modalities which utilize the mechanical properties of tissue as a primary contrast mechanism can potentially be used to quantitatively differentiate between proximate organs in a clinical setting. These results may facilitate more accurate tissue modeling and add information not currently available to the field of systems characterization and biomedical research.
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