Identifying Myocardial Mechanical Properties from MRI Using an Orthotropic Constitutive Model

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• 作者：Zhinuo J. Wang (19)
  Vicky Y. Wang (19)
  Sue-Mun Huang (19)
  Justyna A. Niestrawska (20)
  Alistair A. Young (19) (21)
  Martyn P. Nash (19) (22)
  
• 关键词：Myocardial mechanical properties ; Orthotropic constitutive model ; Parameter estimation ; Canine heart ; Passive stiffness ; Active contraction ; Cardiac cycle
• 刊名：Lecture Notes in Computer Science
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：8896
• 期：1
• 页码：135-144
• 全文大小：2,250 KB
• 参考文献：1. Dokos, S., Smaill, B.H., Young, A.A., LeGrice, I.J.: Shear properties of passive ventricular myocardium. American Journal of Physiology 283, H2650鈥揌2659 (2002)
  2. Niestrawska J.: A structure-based analysis of cardiac remodelling - a constitutive modelling approach. Masters Thesis, RWTH Aachen University of Technology, Germany (2013)
  3. Holzapfel, G.A., Ogden, R.W.: Constitutive modelling of passive myocardium: a structurally based framework for material characterisation. Philosophical Transactions of the Royal Society A 367(1902), 3445鈥?475 (2009) CrossRef
  4. Hunter, P.J., McCulloch, A.D., Ter Keurs, H.E.D.J.: Modelling the mechanical properties of cardiac muscle. Progress in Biophysics and Molecular Biology 69(2鈥?), 289鈥?31 (1998) CrossRef
  5. LeGrice, I.J., Hunter, P.J., Smaill, B.H.: Laminar structure of the heart: a mathematical model. American Journal of Physiology 272, H2466鈥揌2476 (1997)
  6. Nielsen, P.M.F., LeGrice, I.J., Smaill, B.H., Hunter, P.J.: Mathematical model of geometry and fibrous structure of the heart. American Journal of Physiology 260(4), H1365鈥揌1378 (1991)
  7. Wang, V.Y., Lam, H.I., Ennis, D.B., Cowan, B.R., Young, A.A., Nash, M.P.: Modelling passive diastolic mechanics with quantitative MRI of cardiac structure and function. Medical Image Analysis 13(5), 773鈥?84 (2009) CrossRef
  8. Wang, V.Y.: Modelling in vivo cardiac mechanics usng MRI and FEM. PhD Thesis, Auckland Bioengineering Institute, University of Auckland, New Zealand (2012)
  
• 作者单位：Zhinuo J. Wang (19)
  Vicky Y. Wang (19)
  Sue-Mun Huang (19)
  Justyna A. Niestrawska (20)
  Alistair A. Young (19) (21)
  Martyn P. Nash (19) (22)
  
  19. Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
  20. Institute of Biomechanics, Graz University of Technology, Graz, Austria
  21. Department of Anatomy with Radiology, University of Auckland, Auckland, New Zealand
  22. Department of Engineering Science, University of Auckland, Auckland, New Zealand
  
• 丛书名：Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges
• ISBN：978-3-319-14678-2
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

This paper presents a method to characterise the passive orthotropic and contractile properties of left ventricular (LV) myocardial tissue using MRI data of cardiac anatomy, structure and function. Personalised anatomical LV models were fitted to image data from four canine hearts. Diffusion tensor MRI data from the same hearts were parameterised using finite element fitting to provide fibre angle fields that represent longitudinal axes of the myocytes. Fitted fibre angle fields were combined with laminar-sheet orientation data extracted from the Auckland dog heart model and embedded into the customised LV anatomical models. A modified Holzapfel-Ogden orthotropic constitutive relation was parameterised using published data from ex vivo shear tests on myocardial tissue blocks. This parameterised constitutive model was scaled for each case in the present study by fitting the individualised LV models to end-diastolic image data. Contractile tension was then estimated by comparing LV model predictions to the end-systolic image data. Personalised models of this kind can be used to predict the 3D deformation and regional stress distributions throughout the LV wall during the entire cardiac cycle.