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Finite Element Modeling for Three-Dimensional Motion Reconstruction and Analysis

  • Kevin F. Augenstein
  • Alistair A. Young
Chapter
Part of the Computational Imaging and Vision book series (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).

Keywords

Element Parameter Deformation Gradient Tensor Image Stripe Left Ventricular Deformation Left Ventricle Apex 
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.

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Copyright information

© Kluwer Academic Publishers 2001

Authors and Affiliations

  • Kevin F. Augenstein
    • 1
  • Alistair A. Young
    • 2
  1. 1.Department of Engineering Science, School of EngineeringUniversity of AucklandNew Zealand
  2. 2.Department of Anatomy with Radiology, School of MedicineUniversity of AucklandNew Zealand

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