Literature DB >> 19454785

Quantitative viscoelastic parameters measured by harmonic motion imaging.

Jonathan Vappou1, Caroline Maleke, Elisa E Konofagou.   

Abstract

Quantifying the mechanical properties of soft tissues remains a challenging objective in the field of elasticity imaging. In this work, we propose an ultrasound-based method for quantitatively estimating viscoelastic properties, using the amplitude-modulated harmonic motion imaging (HMI) technique. In HMI, an oscillating acoustic radiation force is generated inside the medium by using focused ultrasound and the resulting displacements are measured using an imaging transducer. The proposed approach is a two-step method that uses both the properties of the propagating shear wave and the phase shift between the applied stress and the measured strain in order to infer to the shear storage (G') and shear loss modulus (G''), which refer to the underlying tissue elasticity and viscosity, respectively. The proposed method was first evaluated on numerical phantoms generated by finite-element simulations, where a very good agreement was found between the input and the measured values of G' and G''. Experiments were then performed on three soft tissue-mimicking gel phantoms. HMI measurements were compared to rotational rheometry (dynamic mechanical analysis), and very good agreement was found at the only overlapping frequency (10 Hz) in the estimate of the shear storage modulus G' (14% relative error, averaged p-value of 0.34), whereas poorer agreement was found in G'' (55% relative error, averaged p-value of 0.0007), most likely due to the significantly lower values of G'' of the gel phantoms, posing thus a greater challenge in the sensitivity of the method. Nevertheless, this work proposes an original model-independent ultrasound-based elasticity imaging method that allows for direct, quantitative estimation of tissue viscoelastic properties, together with a validation against mechanical testing.

Mesh:

Year:  2009        PMID: 19454785     DOI: 10.1088/0031-9155/54/11/020

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  44 in total

1.  Harmonic Motion Imaging (HMI) for Tumor Imaging and Treatment Monitoring.

Authors:  Elisa E Konofagou; Caroline Maleke; Jonathan Vappou
Journal:  Curr Med Imaging Rev       Date:  2012

2.  Acoustic radiation force-based elasticity imaging methods.

Authors:  Mark L Palmeri; Kathryn R Nightingale
Journal:  Interface Focus       Date:  2011-06-08       Impact factor: 3.906

3.  AN OVERVIEW OF ELASTOGRAPHY - AN EMERGING BRANCH OF MEDICAL IMAGING.

Authors:  Armen Sarvazyan; Timothy J Hall; Matthew W Urban; Mostafa Fatemi; Salavat R Aglyamov; Brian S Garra
Journal:  Curr Med Imaging Rev       Date:  2011-11

4.  Rayleigh wave propagation method for the characterization of a thin layer of biomaterials.

Authors:  Siavash Kazemirad; Luc Mongeau
Journal:  J Acoust Soc Am       Date:  2013-06       Impact factor: 1.840

5.  Pulse wave imaging for noninvasive and quantitative measurement of arterial stiffness in vivo.

Authors:  Jonathan Vappou; Jianwen Luo; Elisa E Konofagou
Journal:  Am J Hypertens       Date:  2010-01-21       Impact factor: 2.689

6.  Generalized response of a sphere embedded in a viscoelastic medium excited by an ultrasonic radiation force.

Authors:  Matthew W Urban; Ivan Z Nenadic; Scott A Mitchell; Shigao Chen; James F Greenleaf
Journal:  J Acoust Soc Am       Date:  2011-09       Impact factor: 1.840

7.  High-resolution harmonic motion imaging (HR-HMI) for tissue biomechanical property characterization.

Authors:  Teng Ma; Xuejun Qian; Chi Tat Chiu; Mingyue Yu; Hayong Jung; Yao-Sheng Tung; K Kirk Shung; Qifa Zhou
Journal:  Quant Imaging Med Surg       Date:  2015-02

8.  Shear wave propagation in viscoelastic media: validation of an approximate forward model.

Authors:  Fernando Zvietcovich; Natalie Baddour; Jannick P Rolland; Kevin J Parker
Journal:  Phys Med Biol       Date:  2019-01-08       Impact factor: 3.609

9.  Multi-parametric monitoring and assessment of high-intensity focused ultrasound (HIFU) boiling by harmonic motion imaging for focused ultrasound (HMIFU): an ex vivo feasibility study.

Authors:  Gary Y Hou; Fabrice Marquet; Shutao Wang; Elisa E Konofagou
Journal:  Phys Med Biol       Date:  2014-02-20       Impact factor: 3.609

10.  High-resolution acoustic-radiation-force-impulse imaging for assessing corneal sclerosis.

Authors:  Cho-Chiang Shih; Chih-Chung Huang; Qifa Zhou; K Kirk Shung
Journal:  IEEE Trans Med Imaging       Date:  2013-04-08       Impact factor: 10.048

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