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Finite Element Modeling for Three-Dimensional Motion Reconstruction and Analysis

  • Chapter
Measurement of Cardiac Deformations from MRI: Physical and Mathematical Models

Part of the book series: Computational Imaging and Vision ((CIVI,volume 23))

Abstract

Magnetic resonance (MR) tissue tagging has become a useful tool for noninvasive analysis of heart wall motion (see Chapter 2). Typically, multiple parallel tagging planes are created orthogonal to the imaging plane in a short time interval (5–12 ms) on detection of the R wave of the ECG (end-diastole). Often a grid of tag planes is created, whose intersection with the image plane gives rise to dark bands (“image stripes”) in the image, 1–2 mm in width and spaced 5–10 mm apart. With the advent of fast imaging techniques (segmented k-space, echo planar, SENSE and SMASH techniques), it is now possible to obtain a complete dataset suitable for 4D analysis in 5–15 minutes (a 4D dataset typically contains 5–8 short axis slices and 2–6 long axis slices in various orientations, each at 10–20 frames in the cardiac cycle).

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Author information

Authors and Affiliations

  1. Department of Engineering Science, School of Engineering, University of Auckland, New Zealand

    Kevin F. Augenstein

  2. Department of Anatomy with Radiology, School of Medicine, University of Auckland, New Zealand

    Alistair A. Young

Authors
  1. Kevin F. Augenstein
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  2. Alistair A. Young
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Editor information

Editors and Affiliations

  1. Washington University, St. Louis, USA

    Amir A. Amini

  2. Johns Hopkins University, Baltimore, USA

    Jerry L. Prince

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© 2001 Kluwer Academic Publishers

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Augenstein, K.F., Young, A.A. (2001). Finite Element Modeling for Three-Dimensional Motion Reconstruction and Analysis. In: Amini, A.A., Prince, J.L. (eds) Measurement of Cardiac Deformations from MRI: Physical and Mathematical Models. Computational Imaging and Vision, vol 23. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-1265-7_3

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  • DOI: https://doi.org/10.1007/978-94-015-1265-7_3

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-5919-2

  • Online ISBN: 978-94-015-1265-7

  • eBook Packages: Springer Book Archive

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