1997
DOI: 10.1002/(sici)1098-1098(1997)8:6<551::aid-ima7>3.0.co;2-9
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Dynamic imaging by model estimation

Abstract: 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. © 1997 John Wiley & Sons, Inc. Int J Imaging Syst Technol, 8, 551–557, 19… Show more

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Cited by 80 publications
(73 citation statements)
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“…Thus, reconstruction can be performed separately for each k, thereby simplifying the computation significantly. In this case, UNFOLD is similar to the dynamic imaging by motion estimation (DIME) method (12).…”
Section: Unfold Fmrimentioning
confidence: 99%
“…Thus, reconstruction can be performed separately for each k, thereby simplifying the computation significantly. In this case, UNFOLD is similar to the dynamic imaging by motion estimation (DIME) method (12).…”
Section: Unfold Fmrimentioning
confidence: 99%
“…EnKF also chooses a similar sampling pattern, although we assume all the measurements during one time interval as taken at the same time. DIME [7] also uses the same sampling pattern supporting it with gating. Using this secondary measurement data, DIME achieves 6-fold improvement in temporal resolution.…”
Section: Reconstruction Results Of Different Methodsmentioning
confidence: 99%
“…Newer temporal correlation methods such as DIME [7] by Liang et al add a frequency component to the temporal correlation models. This addition helps to compute the missing temporal points much more accurately.…”
Section: Temporal Correlation Methodsmentioning
confidence: 99%
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