Tracking MR Tag Surfaces Using a Spatiotemporal Filter and Interpolator

W. S. Kerwin, Jerry Ladd Prince

Research output: Contribution to journalArticle

Abstract

Magnetic resonance (MR) tagging is a method for visualizing cardiac motion in MR images by inducing artificial, high-contrast features that move with the tissue. To enable quantitative analysis of tagged MR images, a method for tracking the movement of tag features is required. In this article, we present a new method for tracking the deformation of planar tags applied to the left ventricle of the heart. The method generates a continuous three-dimensional reconstruction of deformed tag planes using optimal estimation theory. Tag plane movement is modeled as a time update process, where each update consists of a quadratic component that describes the bulk motion of the tag planes plus a stochastic component that characterizes the fine-scale variation in the motion. The model is used in conjunction with a novel, recursive algorithm that efficiently estimates the deformation of tag planes from time-series data. Results are shown using both simulated and actual MR images.

Original languageEnglish (US)
Pages (from-to)128-142
Number of pages15
JournalInternational Journal of Imaging Systems and Technology
Volume10
Issue number2
StatePublished - 1999

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repeaters
Magnetic resonance
magnetic resonance
filters
Time series
quantitative analysis
marking
Tissue
Chemical analysis
estimates

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics

Cite this

Tracking MR Tag Surfaces Using a Spatiotemporal Filter and Interpolator. / Kerwin, W. S.; Prince, Jerry Ladd.

In: International Journal of Imaging Systems and Technology, Vol. 10, No. 2, 1999, p. 128-142.

Research output: Contribution to journalArticle

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