Dynamic imaging by model estimation

Zhi-Pei Liang, Hong Jiang, Christopher P. Hess, Paul C. Lauterbur

Research output: Contribution to journalArticlepeer-review


This article presents a model-based method for dynamic magnetic resonance imaging. This method models the time variation of an object by a generalized harmonic model, thus converting the dynamic imaging problem to a parameter identification problem. Experimental results are shown to demonstrate that this method is able to produce high-resolution time-sequential images from a dynamic object with periodic or quasi-periodic time variations.

Original languageEnglish (US)
Pages (from-to)551-557
Number of pages7
JournalInternational Journal of Imaging Systems and Technology
Issue number6
StatePublished - 1997

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Software
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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