Phase-Driven Finite Element Model for Spatio-temporal Tracking in Cardiac Tagged MRI

  • Idith Haber
  • Ron Kikinis
  • Carl-Fredrik Westin
Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2208)

Abstract

MRI tissue tagging[1] of the heart produces noninvasivemarkers within the muscle wall that can be used to measure motion and deformation (Fig. 1a). However, the widespread use of tissue tagging has been limited by time-consuming image post-processing. This paper outlines a method for automatic 3D tracking of LV motion from 2D MRI images acquired from multiple views. Since the tags form a repetitive pattern in the images, the local phase can serve as a material property that can be tracked.We first derive displacement from local image phase, a quantity previously used for estimating disparity between two 2D images in stereo vision [2, 8] or to measure relative deformation, or strain [7]. Displacement estimates have also been used for least square fitting of a 2D affine motion model to angiography images [5].

Keywords

Stereo Vision Local Phase Motion Reconstruction Multiple Image Plane Successive Image Frame 
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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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Idith Haber
    • 1
  • Ron Kikinis
    • 2
  • Carl-Fredrik Westin
    • 2
  1. 1.Children’s HospitalHarvard Medical SchoolBostonUSA
  2. 2.Brigham and Women’s HospitalHarvard Medical SchoolBostonUSA

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