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Elasticity and Viscoelasticity Imaging Using Small Particles Exposed to an External Force
Version 1
: Received: 9 November 2023 / Approved: 10 November 2023 / Online: 10 November 2023 (07:37:40 CET)
A peer-reviewed article of this Preprint also exists.
Koruk, H.; Pouliopoulos, A.N. Elasticity and Viscoelasticity Imaging Based on Small Particles Exposed to External Forces. Processes 2023, 11, 3402. Koruk, H.; Pouliopoulos, A.N. Elasticity and Viscoelasticity Imaging Based on Small Particles Exposed to External Forces. Processes 2023, 11, 3402.
Abstract
Particle-mediated elasticity/viscoelasticity imaging has potential to expand the elasticity imaging field, as it can provide accurate and local tissue elastic properties as well as density, Poisson’s ratio, and viscosity. Here, we investigated elasticity imaging based on the use of small particles located within the tissue and at the tissue interface exposed to a static and dynamic external load. First, we discuss elasticity/viscoelasticity imaging methods based on the use of particles (bubbles and rigid spheres) located within the tissue. Elasticity/viscoelasticity imaging techniques based on the use of particles (bubbles, rigid and soft spheres) located at the tissue interface are then presented. Based on new advances, we updated some of the models for the responses of the particles located within the tissue and at the tissue interface available in the literature. Finally, we compared the mathematical models for the particles located within the tissue and at the tissue interface and evaluated the elasticity/viscoelasticity imaging methods based on the use of small particles. Therefore, instead of the use of the term elasticity imaging, we suggest the use of the term viscoelasticity imaging.
Keywords
Elasticity imaging; elastography; bubble; sphere; interface; mathematical modelling; shear modulus; ultrasound sensors; viscosity; viscoelasticity imaging
Subject
Engineering, Bioengineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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