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Imaging-Based Assessment and Modeling of the Structures of the Myocardium

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Computational Cardiovascular Mechanics

Abstract

A precise knowledge of the microstructures of the myocardium such as myocyte organization and myofiber orientation is necessary to better understand material and functional properties of the tissue. By characterizing the diffusion of water exerted by its molecular environment, magnetic resonance diffusion tensor imaging has emerged as a viable alternative to conventional histology for mapping tissue fibers and offers advantages of being nondestructive, relatively convenient, and inherently 3D. This chapter presents assessments and modeling of myocardial structures via diffusion tensor imaging, including their principles, validation, applications, and potential directions for future development.

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Author information

Authors and Affiliations

  1. Department of Bioengineering, University of Utah, Salt Lake City, UT, USA

    Edward W. Hsu & Lindsey J. Healy

  2. Pacific Northwest National Laboratory, Richland, WA, USA

    Daniel R. Einstein & Andrew P. Kuprat

Authors
  1. Edward W. Hsu
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  2. Lindsey J. Healy
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  3. Daniel R. Einstein
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  4. Andrew P. Kuprat
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Corresponding author

Correspondence to Edward W. Hsu .

Editor information

Editors and Affiliations

  1. Veterans Affairs Medical Center, University of California, San Francisco, Clement St. 4150, San Francisco, 94121, U.S.A.

    Julius M. Guccione

  2. Purdue University Indianapolis, Indiana University, Barnhill Drive 635, Indianapolis, 46202, U.S.A.

    Ghassan S. Kassab

  3. Veterans Affairs Medical Center, University of California, San Francisco, Clement St. 4150, San Francisco, 94121, U.S.A.

    Mark B. Ratcliffe

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Hsu, E.W., Healy, L.J., Einstein, D.R., Kuprat, A.P. (2010). Imaging-Based Assessment and Modeling of the Structures of the Myocardium. In: Guccione, J., Kassab, G., Ratcliffe, M. (eds) Computational Cardiovascular Mechanics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-0730-1_2

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  • DOI: https://doi.org/10.1007/978-1-4419-0730-1_2

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  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-0729-5

  • Online ISBN: 978-1-4419-0730-1

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