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A Doubly Adaptive Approach to Dynamic MRI Sequence EstimationW. S. Hoge, Eric L. Miller, Hanoch Lev-Ari, Dana H. Brooks, Lawrence P. PanychIEEE Trans Image Processing Volume 11, Number 11, Pages 1168-1178 Oct., 2002 AbstractDynamic magnetic resonance imaging (MRI) refers to the acquisition of a sequence of MRI images to monitor temporal changes in tissue structure. In this paper we present a method for the estimation of dynamic MRI sequences based on two complimentary strategies: an adaptive framework for the estimation of the MRI images themselves, and an adaptive method to tailor the MRI system excitations for each data acquisition. We refer to this method as the doubly adaptive temporal update method (DATUM) for dynamic MRI.Analysis of the adaptive image estimate framework shows that calculating the optimal system excitations for each new image requires complete knowledge of the next image in the sequence. Since this is not realizable, we introduce a linear predictor to aid in determining appropriate excitations. Simulated examples using real MRI data are included to illustrate that the doubly adaptive strategy can provide estimates with lower steady state error than previously proposed methods and also the ability to recover from dramatic changes in the image sequence. ReferenceHoge WS, Miller EL, Lev-Ari H, Brooks DH, Panych LP. A doubly adaptive approach to dynamic MRI sequence estimation. IEEE Trans Image Processing 2002;11(11):1168-1178.Bibtex entry
@Article{hogeTIP2002,
author = {W. Scott Hoge and Eric L. Miller and Hanoch Lev-Ari and
Dana H. Brooks and Lawrence P. Panych},
title = {A Doubly Adaptive Approach to Dynamic {MRI} Sequence
Estimation},
journal = {IEEE Trans Image Processing},
volume = 11,
number = 11,
pages = {1168-1178},
month = {Oct.},
year = 2002,
annote = {Preprint available at
http://www.cdsp.neu.edu/info/students/shoge/papers/}
}
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