New approach to dynamic magnetic resonance imaging by object modeling

Hong Jiang, Zhi Pei Liang, Paul C. Lauterbur

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper presents a novel dynamic magnetic resonance imaging method using object modeling and estimation. This method models the object by a time-varying function, thus converting the dynamic imaging problem to a parameter identification problem. Experimental results demonstrate that this method is able to produce time-sequential images from a time-varying object with high temporal and spatial resolution, opening up many new applications for MR imaging, such as three-dimensional high-resolution cardiac imaging.

Original languageEnglish (US)
Pages (from-to)459-460
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume17
Issue number1
StatePublished - 1995
EventProceedings of the 1995 IEEE Engineering in Medicine and Biology 17th Annual Conference and 21st Canadian Medical and Biological Engineering Conference. Part 2 (of 2) - Montreal, Can
Duration: Sep 20 1995Sep 23 1995

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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