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Motion-Robust Reconstruction based on Simultaneous Multi-Slice Registration for Diffusion-Weighted MRI of Moving
Bahram Marami1, Benoit Scherrer1, Onur Afacan1
1Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|January 28, 2017
Summary
This study introduces a new motion tracking technique for simultaneous multi-slice (SMS) echo-planar imaging diffusion-weighted MRI (DWI). It enables robust brain microstructure reconstruction even in moving subjects, expanding DWI applications.
Area of Science:
- Neuroimaging
- Diffusion-Weighted Magnetic Resonance Imaging (DWI)
- Medical Physics
Background:
- Simultaneous multi-slice (SMS) echo-planar imaging accelerates diffusion-weighted MRI (DWI), crucial for neuroimaging like the Human Connectome Project.
- Current SMS DWI techniques face challenges with motion artifacts, limiting applications in mobile subjects and certain populations.
- Robust reconstruction of neural microstructure from DWI is essential for understanding brain structure and function.
Purpose of the Study:
- To develop and validate a novel registration-based motion tracking technique for SMS DWI in moving subjects.
- To enable robust reconstruction of neural microstructure from SMS DWI data acquired during continuous motion.
- To assess the efficacy of the technique in both healthy volunteers and pediatric populations.
Main Methods:
- A novel registration-based motion tracking technique utilizing multi-plane coverage from simultaneously acquired slices.
- Implementation of intra-slice motion detection and rejection algorithms.
- Robust reconstruction of neural microstructure from motion-corrupted SMS DWI data.
Main Results:
- Quantitative results from 14 healthy volunteers demonstrated robust reconstruction capabilities.
- Analysis of motion-corrupted SMS DWI data from 6 children showed successful motion handling.
- The technique effectively mitigates artifacts caused by continuous subject motion during SMS DWI acquisition.
Conclusions:
- The developed motion tracking technique enables robust neural microstructure reconstruction from SMS DWI in the presence of continuous motion.
- This innovation holds significant potential for extending the use of SMS DWI in challenging populations, including children and other mobile subjects.
- The findings pave the way for more reliable and widespread application of advanced DWI techniques in clinical and research settings.
