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) |
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Pages (from-to) | 128-142 |
Number of pages | 15 |
Journal | International Journal of Imaging Systems and Technology |
Volume | 10 |
Issue number | 2 |
DOIs | |
State | Published - Jan 1 1999 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Software
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering