3D displacement field reconstruction from planar tagged cardiac MR images

Thomas S. Denney, Jerry L. Prince

Research output: Contribution to conferencePaper

Abstract

A major problem in cardiac imaging is the measurement of cardiac motion for identification of ischemic and infarcted tissues. O'Dell et. al. have recently proposed a method that uses magnetic resonance tag patterns to measure the 3D displacement field of the myocardium. The measurements are sparse, however, and interpolation is required to reconstruct a dense displacement field. In this paper, we propose a method for computing a dense displacement field on a regular 3D lattice from sparse displacement measurements. This method uses a multidimensional stochastic model for the true displacement field and the Fisher estimation framework to estimate a displacement vector at each point the lattice. Simulation results are presented that demonstrate the accuracy of our technique.

Original languageEnglish (US)
Pages51-60
Number of pages10
StatePublished - Dec 1 1994
EventProceedings of the IEEE Workshop on Biomedical Image Analysis - Seattle, WA, USA
Duration: Jun 24 1994Jun 25 1994

Other

OtherProceedings of the IEEE Workshop on Biomedical Image Analysis
CitySeattle, WA, USA
Period6/24/946/25/94

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Denney, T. S., & Prince, J. L. (1994). 3D displacement field reconstruction from planar tagged cardiac MR images. 51-60. Paper presented at Proceedings of the IEEE Workshop on Biomedical Image Analysis, Seattle, WA, USA, .