Analysis and comparison of motion-correction techniques in diffusion-weighted imaging
Autor: | Arthur F. Gmitro, Yashvinder S. Sabharwal, Maria I. Altbach, Theodore P. Trouard |
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Rok vydání: | 1996 |
Předmět: |
Fourier Analysis
Phantoms Imaging Image quality Computer science Brain Motion (geometry) Image processing Rigid body Magnetic Resonance Imaging Rats Motion symbols.namesake Data acquisition Evaluation Studies as Topic Fourier analysis symbols Animals Radiology Nuclear Medicine and imaging Artifacts Projection (set theory) Algorithm Algorithms Diffusion MRI |
Zdroj: | Journal of Magnetic Resonance Imaging. 6:925-935 |
ISSN: | 1522-2586 1053-1807 |
DOI: | 10.1002/jmri.1880060614 |
Popis: | Motion continues to be a significant problem in MRI, producing image artifacts that can severely degrade image quality. In diffusion-weighted imaging (DWI), the problem is amplified by the presence of large gradient fields used to produce the diffusion weighting. Three correction methods applicable for correction of specific classes of motion are described and compared. The first is based on a generalised projection onto convex sets (GPOCS) postprocessing algorithm. The second technique uses the collection of navigator echoes to track phase errors. The third technique is based on a radial-scan data acquisition combined with a modified projection-reconstruction algorithm. Although each technique corrects well for translations, the radial-scan method proves to be more robust when more complex motions are present. A detailed description of the causes of MR data errors caused by rigid body motion is included as an appendix. |
Databáze: | OpenAIRE |
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