MR tag surface tracking using a spatio-temporal filter/interpolator

W. S. Kerwin, J. L. Prince

Research output: Contribution to conferencePaper

Abstract

Magnetic resonance imaging provides the unique capability to produce artificial, high-contrast features called 'tags' that are invaluable for tracking tissue motion. Each tag corresponds to an initially planar surface embedded in the tissue that deforms with tissue motion. By tracking tag surface deformation, quantitative analysis of tissue motion can be performed. In this paper, we present a method for tag surface tracking that applies specifically to tag surfaces embedded in the wall of the left ventricle. The method addresses two key issues: first, the full spatial extent of tag surfaces in 3-D space must be inferred from 2-D images, and second, within the images, noise leads to uncertainty in tag positions. We address these issues by framing tag surface tracking as an estimation problem given the observed image data. The estimates are obtained using a stochastic model of tag deformation and a recursive algorithm that simultaneously filters over time and smoothly interpolates between images.

Original languageEnglish (US)
Pages699-703
Number of pages5
StatePublished - Dec 1 1998
EventProceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3) - Chicago, IL, USA
Duration: Oct 4 1998Oct 7 1998

Other

OtherProceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3)
CityChicago, IL, USA
Period10/4/9810/7/98

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'MR tag surface tracking using a spatio-temporal filter/interpolator'. Together they form a unique fingerprint.

  • Cite this

    Kerwin, W. S., & Prince, J. L. (1998). MR tag surface tracking using a spatio-temporal filter/interpolator. 699-703. Paper presented at Proceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3), Chicago, IL, USA, .