A Respiratory Motion Artifact Reduction Method in Magnetic Resonance Imaging of the Chest
Date
1991Source Title
IEEE Transactions on Medical Imaging
Print ISSN
0278-0062
Volume
10
Issue
1
Pages
11 - 24
Language
English
Type
ArticleItem Usage Stats
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Abstract
A respiratory motion artifact reduction method in magnetic resonance imaging is presented. The method is an image reconstruction algorithm based on the assumption that the respiratory motion of the chest is linear in space and arbitrary in time. The linear respiratory motion causes phase distortion on the MR data. In addition, as a result of this motion, the MR data will be the samples of the Fourier transform of the spin density on a nonrectangular grid. In image reconstruction, before taking the inverse Fourier transform, the phase distortion is compensated and the rectangular samples are interpolated from the existing nonrectangular samples. Using this method, a significant amount of motion artifact suppression is achieved with a rough knowledge on the motion. In addition, it is demonstrated that the respiratory motion model parameters can be estimated using the information hidden in the motion artifacts. © 1991 IEEE.
Keywords
Image Processing - ReconstructionMathematical Transformations - Fourier Transforms
Inverse Fourier Transform
Lagrange Interpolation
Phase Distortion
Respiratory Motion Artifact Suppression
Magnetic Resonance Imaging