An efficient region of interest acquisition method for dynamic magnetic resonance imaging.
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.
Hoge
W S
WS
Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02215, USA.
Miller
E L
EL
Lev-Ari
H
H
Brooks
D H
DH
Karl
W C
WC
Panych
L P
LP