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Dynamic imaging by model estimation

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4 Author(s)
Zhi-Pei Liang ; Dept. of Electr. & Comput. Eng., Illinois Univ. at Urbana-Champaign, Urbana, IL, USA ; Hong Jiang ; C. P. Hess ; P. C. Lauterbur

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.

Published in:

Biomedical Imaging, 2002. 5th IEEE EMBS International Summer School on

Date of Conference:

15-23 June 2002