Engineering approaches for characterizing soft tissue mechanical properties: A review.
Journal:
Clinical biomechanics (Bristol, Avon)
Published Date:
Oct 1, 2019
Abstract
From cancer diagnosis to detailed characterization of arterial wall biomechanics, the elastic property of tissues is widely studied as an early sign of disease onset. The fibrous structural features of tissues are a direct measure of its health and functionality. Alterations in the structural features of tissues are often manifested as local stiffening and are early signs for diagnosing a disease. These elastic properties are measured ex vivo in conventional mechanical testing regimes, however, the heterogeneous microstructure of tissues can be accurately resolved over relatively smaller length scales with enhanced spatial resolution using techniques such as micro-indentation, microelectromechanical (MEMS) based cantilever sensors and optical catheters which also facilitate in vivo assessment of mechanical properties. In this review, we describe several probing strategies (qualitative and quantitative) based on the spatial scale of mechanical assessment and also discuss the potential use of machine learning techniques to compute the mechanical properties of soft tissues. This work details state of the art advancement in probing strategies, associated challenges toward quantitative characterization of tissue biomechanics both from an engineering and clinical standpoint.
Authors
Keywords
Area Under Curve
Bioengineering
Biomechanical Phenomena
Brain Neoplasms
Breast
Cell Membrane
Diagnostic Imaging
Elasticity
Elasticity Imaging Techniques
Equipment Design
Female
Fiber Optic Technology
Humans
Liver
Machine Learning
Male
Microscopy, Atomic Force
Neoplasms
Prostate
Robotic Surgical Procedures
Stomach
Tomography, Optical Coherence
Vagina