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Motion-robust diffusion tensor acquisition at routine 3T magnetic resonance imaging
- Source :
- Japanese journal of radiology. 28(1)
- Publication Year :
- 2009
-
Abstract
- We compared different acquisition and reconstruction methods in phantom and human studies in the clinical setting to validate our hypothesis that optimizing the k-space acquisition and reconstruction method could decrease motion artifacts.Diffusion tensor images of a water phantom were obtained with three table displacement magnitudes: 1 mm, 2 mm, and 3 mm. Images were reconstructed using homodyne and zero-fill reconstruction. Overscanning in 8- and 16-k(y) lines was tested. We performed visual assessment of the artifacts using reconstructed coronal images and analyzed them with Wilcoxon signed-ranks test both for phantom and human studies. Also, fractional anisotropy (FA) changes between acquisition methods were compared.Artifacts due to smaller displacement (1 and 2 mm) were significantly reduced in 16-k(y) overscan with zero filling. The Wilcoxon signed-ranks test showed significant differences (P0.031 for reconstruction methods and P0.016 for overscanning methods). FA changes were statistically significant (P0.037; Student's t-test). The Wilcoxon signed-ranks test showed significant reductions (P0.005) in the human study.Motion-induced artifacts can be reduced by optimizing acquisition and reconstruction methods. The techniques described in this study offer an effective method for robust estimation of diffusion tensor in the presence of motion-related artifactual data points.
- Subjects :
- Adult
Male
medicine.medical_specialty
Imaging phantom
Motion (physics)
Magnetics
Motion
Motion artifacts
Reference Values
medicine
Image Processing, Computer-Assisted
Humans
Radiology, Nuclear Medicine and imaging
Medical physics
Computer vision
Aged
Physics
medicine.diagnostic_test
Human studies
business.industry
Echo-Planar Imaging
Phantoms, Imaging
Brain
Reproducibility of Results
Water
Magnetic resonance imaging
Middle Aged
Reconstruction method
Diffusion Magnetic Resonance Imaging
Anisotropy
Female
Artificial intelligence
business
Artifacts
Diffusion MRI
Subjects
Details
- ISSN :
- 1867108X
- Volume :
- 28
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Japanese journal of radiology
- Accession number :
- edsair.doi.dedup.....39a12f53cfc2e75861919a4ba1c88be2