Engineering approaches for characterizing soft tissue mechanical properties: A review

Alekya, B and Rao, Sanjay and Pandya, Hardik J (2019) Engineering approaches for characterizing soft tissue mechanical properties: A review. In: CLINICAL BIOMECHANICS, 69 . pp. 127-140.

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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.

Item Type:	Journal Article
Publication:	CLINICAL BIOMECHANICS
Publisher:	ELSEVIER SCI LTD
Additional Information:	copy right of this article belong to ELSEVIER SCI LTD
Keywords:	Indentation; Elastography; Catheters; Elastic modulus; Machine learning
Department/Centre:	Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited:	18 Dec 2019 10:16
Last Modified:	18 Dec 2019 10:16
URI:	http://eprints.iisc.ac.in/id/eprint/64072

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