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Facilitating diffusion tensor imaging of the brain during continuous gross head motion with first and second order
Danielle Kara1, Katherine Koenig2, Mark Lowe2
1Cardiovascular Innovation Research Center, Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Magnetic Resonance in Medicine
|December 11, 2023
Summary
Motion-compensating diffusion gradient schemes effectively produced quality diffusion tensor images (DTI) of the brain despite continuous head motion. This technique mitigates motion artifacts, improving DTI data reliability and accessibility.
Area of Science:
- Neuroimaging
- Medical Physics
Background:
- Diffusion Tensor Imaging (DTI) is crucial for brain imaging.
- Acquiring high-quality DTI is challenging due to head motion artifacts.
Purpose of the Study:
- To assess the feasibility of motion-compensating diffusion gradient schemes for brain DTI acquisition.
- To evaluate the effectiveness of these schemes during continuous head motion.
Main Methods:
- Healthy subjects underwent 3T MRI with and without head motion.
- DTI data acquired using standard (M0) and motion-compensating (M2) gradient schemes.
- DTI parameters compared with retrospective motion correction methods.
Main Results:
- M2 gradients showed 0% corrupted images during motion, unlike M0 (up to 44%).
- Motion-M0 DTI parameters were elevated and inconsistent with reference data.
- M2 gradients yielded DTI parameters consistent with reference data, even with motion.
Conclusions:
- Motion-compensating diffusion gradients are feasible for brain DTI acquisition.
- This approach effectively mitigates continuous motion artifacts, enhancing DTI quality.
- Further research is needed to validate in patient populations prone to motion.
