Analysis of Tagged MR Cardiac Images with B-spline Models

  • Yasheng Chen
  • Yu-Ping Wang
  • Amir A. Amini
Chapter
Part of the Computational Imaging and Vision book series (CIVI, volume 23)

Abstract

Noninvasive imaging techniques for assessing the dynamic behavior of the human heart are invaluable in the diagnosis of myocardial diseases. MRI is a noninvasive imaging technique that provides superb anatomic information with excellent spatial resolution and soft tissue contrast. Conventional MR studies of the heart provide accurate measures of global and regional myocardial function, chamber volumes, and ejection fractions. In MR tagging, the magnetization property of selective material points are altered in order to create tagged patterns within a deforming body such as the heart muscle. The resulting pattern defines a time-varying curvilinear coordinate system on the underlying tissue. During tissue contractions, the grid patterns move, allowing for visual tracking of the grid intersections over time. The intrinsic high spatial and temporal resolutions of such myocardial analysis schemes provide unsurpassed information about local contraction and deformation in the myocardium which can be used to derive local strain and deformation indices from different regions.

Keywords

Control Point Material Point Displacement Vector Field Spline Grid 
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

  • Yasheng Chen
    • 1
  • Yu-Ping Wang
    • 2
  • Amir A. Amini
    • 1
  1. 1.CVIA LaboratoryWashington University School of MedicineSt. LouisUSA
  2. 2.The Advanced Digital Imaging Research, LLC.League CityUSA

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