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An efficient region of interest acquisition method for dynamic magnetic resonance imaging

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6 Author(s)
W. S. Hoge ; Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA ; E. L. Miller ; H. Lev-Ari ; D. H. Brooks
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Motivated by work in the area of dynamic magnetic resonance imaging (MRI), we develop a new approach to the problem of reduced-order MRI acquisition. Efforts in this field have concentrated on the use of Fourier and singular value decomposition (SVD) methods to obtain low-order representations of an entire image plane. We augment this work to the case of imaging an arbitrarily-shaped region of interest (ROI) embedded within the full image. After developing a natural error metric for this problem, we show that determining the minimal order required to meet a prescribed error level is in general intractable, but can be solved under certain assumptions. We then develop an optimization approach to the related problem of minimizing the error for a given order. Finally, we demonstrate the utility of this approach and its advantages over existing Fourier and SVD methods on a number of MRI images

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IEEE Transactions on Image Processing  (Volume:10 ,  Issue: 7 )