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An algorithm for the suppression of translational motion artifacts in MRI
Australasian Physical & Engineering Sciences in Medicine
|December 1, 1990
Summary
This study introduces a new postprocessing technique to reduce ghost artifacts in Magnetic Resonance imaging caused by patient movement. The iterative algorithm effectively suppresses translational motion artifacts, improving image quality for diagnosis.
Area of Science:
- Medical Imaging
- Image Processing
- Biomedical Engineering
Background:
- Patient motion is a primary limitation in Magnetic Resonance (MR) imaging quality.
- Gross patient movements result in ghost artifacts, hindering accurate diagnosis.
Purpose of the Study:
- To present a novel postprocessing method for suppressing translational motion artifacts in MR images.
- To address the diagnostic interference caused by ghost artifacts in MR examinations.
Main Methods:
- The proposed method involves postprocessing standard two-dimensional Fourier transform (2D FT) MR images.
- It utilizes an iterative algorithm of generalized projections to correct phase errors introduced by translational motion.
- The technique targets the additional phase factor in the detected signal caused by motion.
Main Results:
- Computer simulations demonstrated successful removal of most translational motion artifacts.
- The algorithm proved effective even when significant noise was present in the MR data.
- The developed method significantly enhances the diagnostic quality of MR images affected by motion.
Conclusions:
- The presented iterative postprocessing technique offers an effective solution for translational motion artifact suppression in MR imaging.
- This method has the potential to improve the reliability and diagnostic accuracy of MR examinations affected by patient movement.
- Further validation in clinical settings is warranted to confirm the broad applicability of this motion correction technique.