Title :
MRI artifact cancellation due to rigid motion in the imaging plane
Author :
Zoroofi, Reza Aghaeizadeh ; Sato, Yoshinobu ; Tamura, Shinichi ; Naito, Hiroaki
Author_Institution :
Div. of Functional Diagnostic Imaging, Osaka Univ., Japan
fDate :
12/1/1996 12:00:00 AM
Abstract :
A post-processing technique has been developed to suppress the magnetic resonance imaging (MRI) artifact arising from object planar rigid motion. In two-dimensional Fourier transform (2-DFT) MRI, rotational and translational motions of the target during magnetic resonance magnetic resonance (MR) scan respectively impose nonuniform sampling and a phase error an the collected MRI signal. The artifact correction method introduced considers the following three conditions: (1) for planar rigid motion with known parameters, a reconstruction algorithm based on bilinear interpolation and the super-position method is employed to remove the MRI artifact, (2) for planar rigid motion with known rotation angle and unknown translational motion (including an unknown rotation center), first, a super-position bilinear interpolation algorithm is used to eliminate artifact due to rotation about the center of the imaging plane, following which a phase correction algorithm is applied to reduce the remaining phase error of the MRI signal, and (3) to estimate unknown parameters of a rigid motion, a minimum energy method is proposed which utilizes the fact that planar rigid motion increases the measured energy of an ideal MR image outside the boundary of the imaging object; by using this property all unknown parameters of a typical rigid motion are accurately estimated in the presence of noise. To confirm the feasibility of employing the proposed method in a clinical setting, the technique was used to reduce unknown rigid motion artifact arising from the head movements of two volunteers
Keywords :
biomechanics; biomedical NMR; medical image processing; motion estimation; MRI artifact cancellation; bilinear interpolation; clinical setting; head movements; imaging plane; known rotation angle; magnetic resonance imaging; medical diagnostic imaging; minimum energy method; nonuniform sampling; phase correction algorithm; phase error; post-processing technique; rigid motion; super-position bilinear interpolation algorithm; super-position method; translational motion; two-dimensional Fourier transform; unknown rotation center; Error correction; Fourier transforms; Interpolation; Magnetic resonance; Magnetic resonance imaging; Motion estimation; Nonuniform sampling; Parameter estimation; Phase estimation; Reconstruction algorithms;
Journal_Title :
Medical Imaging, IEEE Transactions on