DocumentCode :
1495029
Title :
A respiratory motion artifact reduction method in magnetic resonance imaging of the chest
Author :
Atalar, Ergin ; Onural, Levent
Author_Institution :
Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara, Turkey
Volume :
10
Issue :
1
fYear :
1991
fDate :
3/1/1991 12:00:00 AM
Firstpage :
11
Lastpage :
24
Abstract :
An image reconstruction algorithm based on the assumption that the respiratory motion of the chest is linear in space and arbitrary in time is presented. The linear respiratory motion causes phase distortion on the magnetic resonance (MR) data. As a result of this motion, the MR data are 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 for, and the rectangular samples are interpolated from the existing nonrectangular samples. A significant amount of motion artifact suppression is achieved with a rough knowledge on the motion using this method. It is demonstrated that the respiratory motion model parameters can be estimated using the information hidden in the motion artifacts
Keywords :
biomedical NMR; patient diagnosis; image reconstruction algorithm; inverse Fourier transform; magnetic resonance imaging of the chest; medical diagnostic imaging; nonrectangular grid; phase distortion; respiratory motion artifact reduction method; respiratory motion model parameters; spin density; Data acquisition; Encoding; Fourier transforms; Image reconstruction; Iterative methods; Magnetic resonance imaging; Motion estimation; Parameter estimation; Phase distortion; Radio frequency;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/42.75607
Filename :
75607
Link To Document :
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