Abstract
Quantitative descriptions of in vivo biomechanical properties of soft tissues are necessary for tissue evaluation and a meaningful surgical simulation. A hand-held ultrasound indentation system that can acquire force-displacement response in vivo has been developed. Using this system, non-invasive measurements of in vivo biomechanical properties of tissues are described in this paper. First, a linear elastic model was used to describe a porcine phantom material. Its Young’s modulus was estimated via a mathematical solution from force-displacement curves. The estimated value of Young’s modulus was in good comparison with those from a material test machine and 2D and 3D finite element simulations. Secondly, a finite element-based inverse scheme was used to reconstruct Young’s modulus distribution of a three-layer phantom based on the displacement field measured from 2D continuous ultrasound images. Finally, in our primary study a pseudo-elasticity model was used to fit the experimental data of in vivo breast tissue.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Fung, Y.C., Biomechanics-Mechanical Properties of Living Tissues. Second Edition, Springer-Verlag (1993)
Yamada, H., Strength of Biological Materials, Robert E. Krieger Publishing Company Huntington, New York.
Wang, B.C., Wang, G. R., Yan, D. H., Liu, Y. P. An Experimental Study on Biomechanical Properties of Hepatic Tissue Using A New Measuring Method. BioMedical Materials and Engineering. 2 (1992) 133–138
Zheng, Y.P.; Choi, Y.K.C.; Wong, K.; Chan, S.; Mak, A.F.T. Biomechanical Assessment of Plantar Foot Tissue in Diabetic Patients Using An Ultrasound Indentation System, Ultrasound in Medi.&Biol, 26 (2000) 451–456
Zheng, Y.P., Mak, A.F.T. An Ultrasound Indentation System for Biomechanical Properties Assessment of Soft Tissues in-vivo, IEEE Trans. Biomed. Engng. 43 (1996) 912–918
Mak, A.F.T., Liu, G.H.W. and Lee, S.Y. Biomechanical Assessment to Below-knee Residual Limb Tissue. J. Rehabil. Res. Dev. 31 (1994) 188–198
Miller, K, Chinzei, K., Orssengo G. and Bednarz P. Mechanical Properties of Brain Tissue In-Vivo. Experiment and Computer Simulation, J. Biomechanics, 33 (2000) 1369–1376
Hayes, W.C., Keer, L.M., Herrman, G and Mockros, L.F. A Mathematical Analysis for Indentation Tests of Articular Cartilage. J Biomechanics, 5 (1972) 541–551
Mak, A.F., Lai, W.M., Mow, V.C. Biphasic Indentation of Articular Cartilage-I. Theoretical Analysis. J. Biomechanics, 20 (1987) 703–714
Lyyra T., Jurvelin J., Pitkanem, P., Vaatainen U. and Kiviranta, Indentation Instrument for the Measurement of Cartilage Stiffness under Arthroscopic Control, Med. Eng. Phys. 17 (1995)395–399
Kallel F, Bertrand M. Tissue Elasticity Reconstruction Using Linear Perturbation Method. IEEE Trans Med Imag, 15 (1996) 299–313.
Doyley M.M., Meaney P.M. and Bamber J.C., Evaluation of An Iterative Reconstruction Method for Quantitative Elastography, Phys. Med. Biol. 45 (2000) 1521–1540
Moulton M.J., Lawrence L.C., Ricardo L.A. An Inverse Approach Determining Myocardial Material Properties, J. Biomechanics 28 (1995) 935–948
Han L., J.A. Noble, M. Burcher, The Elastic Reconstruction of Soft Tissues, IEEE International Symposium on Biomedical Imaging: Macro to Nano (2002)
Burcher, M., Han, L. and Noble J.A. Deformation Correction in Ultrasound Imaging Using Contact Force Information, Proc. IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (2001)
Prager, R.W., Gee A.H., Berman L.. Stradx: Real-Time Acquisition and Visualisation of Freehand 3D Ultrasound, Cambridge University Engineering Dept. Technical Report, 1998.
Alblas, J.R, and Kuipers, M. Contact Problems of A Rectangular Block on An Elastic Layer of Finite Thickness, Part I:The Thin Layer, Acta,Mechica, 8 (1969) 133–145
Alblas, J.R, and Kuipers, M. Part II: The Thick Layer, Acta, Mechica, 9(1970) 1–12
Zhang, M., Zheng, Y.P and Mak, A.F.T. Estimating the Effective Young’s modulus of Soft Tissue from Indentation Tests •Nonlinear Finite Element Analysis of Effects of Friction and Large Deformation, Med. Eng. Phys. 19, (1997) 512–517
Hayton, P.M., Brady, M., Smith, S. M. and Moore, N. A Non-rigid Registration Algorithm for Dynamic Breast MR Images, Artificial Intelligence, 114 (1999) 125–156.
IMSL Math/Library Manual, Visual Numerics, Inc. 1997
Krouskop, T.A., Wheeler, T.M. Kallel, F. Garra, B.S. and Hall, T. Elastic Moduli of Breast and Prostate Tissues Under Compression. Ultrasonic Imaging 20, 260–274 (1998)
Moyley, M.M., Bamber, J.C., Fuechsel, F. and Bush, B.L. A Freehand Elastographic Imaging Approach for Clinical Breast Imaging: System Development and Performance Evaluation, Ultrasound in Med.& Biol. 27, 1347–1357 (2001).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Han, L., Burcher, M., Noble, J.A. (2002). Non-invasive Measurement of Biomechanical Properties of in vivo Soft Tissues. In: Dohi, T., Kikinis, R. (eds) Medical Image Computing and Computer-Assisted Intervention — MICCAI 2002. MICCAI 2002. Lecture Notes in Computer Science, vol 2488. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45786-0_26
Download citation
DOI: https://doi.org/10.1007/3-540-45786-0_26
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44224-0
Online ISBN: 978-3-540-45786-2
eBook Packages: Springer Book Archive