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Navigator motion correction of diffusion weighted 3D SSFP imaging.
1Odin Technologies Ltd., PO Box 248, Yokneam Elite 20698, Israel. elyakim@odin.co.il
Magma (New York, N.Y.)
|June 8, 2001
Summary
This study introduces a novel diffusion-weighted 3D steady-state MR imaging technique. It effectively corrects motion artifacts, enabling faster and clearer imaging of the brain, even in challenging areas.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- Medical Physics
- Neuroimaging
Background:
- Diffusion-weighted (DW) imaging is crucial for detecting neurological abnormalities.
- Traditional DW imaging methods are highly sensitive to motion artifacts, often requiring time-consuming multi-averaging.
- Severe magnetic susceptibility artifacts in certain brain regions pose a significant challenge for current DW imaging techniques.
Purpose of the Study:
- To present a novel diffusion-weighted 3D steady-state MR imaging (SSFP) technique.
- To address the limitations of existing DW imaging methods, particularly concerning motion artifacts and susceptibility.
- To enable faster acquisition of high-quality DW images in challenging brain regions.
Main Methods:
- Implementation of a 3D steady-state free precession (SSFP) sequence.
- Integration of navigator echo's motion correction to mitigate respiratory bulk motion artifacts.
- Development of an interpolation strategy for motion correction in regions with pulsatile flow (blood/CSF).
Main Results:
- The proposed technique successfully acquires diffusion-weighted images in regions with severe susceptibility.
- Navigator echo motion correction effectively removes respiratory bulk motion artifacts, avoiding lengthy multi-averaging.
- Acquisition of 10 diffusion-weighted slices is achieved within a rapid timeframe of 0:50–2:30 minutes.
Conclusions:
- The novel DW 3D SSFP technique with navigator echo motion correction offers a significant advancement in neuroimaging.
- This method provides a robust solution for acquiring high-quality diffusion-weighted images, even in the presence of motion and susceptibility artifacts.
- The reduced acquisition time and improved image quality have substantial implications for clinical diagnosis and research in neurology.