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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Quantitative assessment of parallel acquisition techniques in diffusion tensor imaging at 3.0 Tesla
1Dept. of Biomed. Eng., California Univ., Los Angeles, CA, USA.
Summary
Parallel imaging reduces distortions in diffusion tensor imaging. GRAPPA reconstruction with an acceleration factor of 2 proved optimal for minimizing artifacts and improving reliability at 3 Tesla.
Area of Science:
- Magnetic Resonance Imaging
- Diffusion Tensor Imaging
- Medical Physics
Background:
- Single-shot echo-planar imaging (SS-EPI) in diffusion tensor imaging (DTI) is susceptible to geometric and intensity distortions.
- These distortions are exacerbated by higher magnetic field strengths.
- Parallel imaging techniques offer a solution to mitigate these distortions while maintaining spatial resolution.
Purpose of the Study:
- To quantitatively compare parallel imaging reconstruction methods for DTI at 3 Tesla.
- To evaluate k-space (GRAPPA) and image domain (SENSE) reconstruction techniques.
- To determine the optimal parallel imaging strategy for minimizing distortions and artifacts in DTI.
Main Methods:
- Diffusion tensor imaging data acquired at 3 Tesla.
- Comparison of GRAPPA (k-space) and SENSE (image domain) parallel imaging reconstructions.
- Quantitative analysis of distortions, artifacts, and reliability across all voxels in the corpus callosum.
Main Results:
- GRAPPA reconstruction demonstrated superior performance compared to SENSE.
- An acceleration factor of 2 for GRAPPA yielded the best results.
- GRAPPA with acceleration factor 2 minimized distortions and artifacts effectively.
Conclusions:
- Parallel imaging is essential for high-field DTI to reduce distortions.
- GRAPPA reconstruction is a highly effective method for parallel imaging in DTI.
- GRAPPA with an acceleration factor of 2 represents the optimal sequence for 3T DTI acquisition.
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