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Suppression of slice selection axis motion artifacts in MRI.
IEEE Transactions on Medical Imaging
|January 1, 1992
Summary
Patient motion in magnetic resonance imaging (MRI) creates image artifacts. This study presents a new algorithm to reduce motion artifacts, effective for both periodic and non-periodic movements, even with noise.
Area of Science:
- Medical Imaging
- Biomedical Engineering
- Image Reconstruction
Background:
- Patient motion during Magnetic Resonance Imaging (MRI) acquisition introduces artifacts like blurring and ghosting in 2D Fourier Transform (2DFT) images.
- Existing techniques, such as the one proposed by T. Mitsa et al. (1990), primarily address artifacts caused by periodic motion along the slice selection axis.
Purpose of the Study:
- To develop and present a novel algorithm for suppressing motion artifacts in MRI.
- To overcome the limitations of previous methods by addressing non-periodic motion.
- To evaluate the algorithm's performance under various conditions, including noise and in-plane motion.
Main Methods:
- A new motion artifact suppression algorithm was developed for MRI.
- The algorithm was validated using simulated phantom data with controlled motion.
- Performance was assessed in the presence of simulated noise and motion within the imaging plane.
Main Results:
- The proposed algorithm effectively suppresses motion artifacts in MRI.
- The technique is not limited to periodic motion and demonstrates robustness.
- Successful performance was observed even when noise and in-plane motion were present.
Conclusions:
- A versatile algorithm for reducing MRI motion artifacts has been developed.
- This method offers an improvement over techniques restricted to periodic motion.
- The algorithm shows promise for enhancing image quality in challenging acquisition scenarios.
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