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Dynamic imaging by model estimation
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DOI：10.1002/(SICI)1098-1098(1997)8:6<551::AID-IMA7>3.0.CO;2-9.png)
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摘要
En 中文
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. (C) 1997 John Wiley & Sons, Inc.
Keyword:
MAGNETIC-RESONANCE
MOTION ARTIFACTS
SUPPRESSION
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