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 language | English (US) |
|---|---|
| Pages (from-to) | 128-142 |
| Number of pages | 15 |
| Journal | International Journal of Imaging Systems and Technology |
| Volume | 10 |
| Issue number | 2 |
| State | Published - 1999 |
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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 journal › Article
}
TY - JOUR
T1 - Tracking MR Tag Surfaces Using a Spatiotemporal Filter and Interpolator
AU - Kerwin, W. S.
AU - Prince, Jerry Ladd
PY - 1999
Y1 - 1999
N2 - 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.
AB - 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.
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M3 - Article
AN - SCOPUS:0032637643
VL - 10
SP - 128
EP - 142
JO - International Journal of Imaging Systems and Technology
JF - International Journal of Imaging Systems and Technology
SN - 0899-9457
IS - 2
ER -