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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
Published on: November 8, 2012
High-resolution multishot spiral diffusion tensor imaging with inherent correction of motion-induced phase errors.
Trong-Kha Truong1, Arnaud Guidon
1Brain Imaging and Analysis Center, Duke University, Durham, North Carolina, USA.
Magnetic Resonance in Medicine
|March 2, 2013
Summary
A new method using sensitivity encoding plus conjugate gradient effectively corrects motion artifacts in diffusion tensor imaging. This technique enhances image quality without lengthening scan times or reducing signal-to-noise ratio.
Area of Science:
- Medical Imaging
- Neuroimaging
- Diffusion Tensor Imaging
Background:
- Motion artifacts are a significant challenge in multishot spiral diffusion tensor imaging (DTI).
- Existing methods often require specific trajectories or navigator echoes to correct for motion-induced phase errors.
Purpose of the Study:
- To develop and compare three novel reconstruction methods for multishot spiral DTI.
- To inherently correct motion-induced phase errors without specialized trajectories or navigator echoes.
Main Methods:
- Developed three reconstruction methods: magnitude averaging, sensitivity encoding (SENSE) with phase subtraction, and SENSE with conjugate gradient (CG).
- Evaluated methods using numerical simulations and in vivo experiments on healthy volunteers.
Main Results:
- Magnitude averaging and SENSE with phase subtraction showed low signal-to-noise ratio or residual artifacts.
- The SENSE + CG method produced high-quality, high-resolution DTI results with detailed anatomical features.
Conclusions:
- The SENSE + CG method effectively corrects phase errors, signal loss, and aliasing artifacts from motion in multishot spiral DTI.
- This approach improves DTI quality without increasing scan time or decreasing signal-to-noise ratio.
