High resolution cardiac magnetic resonance imaging: A model-based approach

Research output: Contribution to journalConference article

Abstract

This paper presents a model-based method for dynamic cardiac magnetic resonance (MR) imaging. This method represents temporal variations of MR signals from the beating heart by a temporal generalized series, which enables sparse sampling of the (k, t)-space. Various issues related to basis selection and parameter estimation are discussed. Experimental and simulation results are also presented to show that the proposed method can obtain high-resolution time-sequential images from a time-varying object with periodic or aperiodic cyclic signal variations.

Original languageEnglish (US)
Pages (from-to)2268-2271
Number of pages4
JournalAnnual Reports of the Research Reactor Institute, Kyoto University
Volume3
StatePublished - Dec 1 2001
Event23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, Turkey
Duration: Oct 25 2001Oct 28 2001

Fingerprint

Magnetic resonance
Imaging techniques
Parameter estimation
Sampling

Keywords

  • Dynamic MRI
  • Dynamic time warping
  • Principal component analysis

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Mechanical Engineering

Cite this

High resolution cardiac magnetic resonance imaging : A model-based approach. / Ji, Jim; Liang, Zhi Pei.

In: Annual Reports of the Research Reactor Institute, Kyoto University, Vol. 3, 01.12.2001, p. 2268-2271.

Research output: Contribution to journalConference article

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