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Published on: July 19, 2013
Model-based reconstruction for simultaneous multi-slice mapping using single-shot inversion-recovery radial FLASH
Xiaoqing Wang1,2, Sebastian Rosenzweig1,2, Nick Scholand1,2
1Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany.
This study introduces a fast, multi-slice mapping technique using simultaneous multi-slice (SMS) excitations and model-based reconstruction. The method achieves accurate and repeatable measurements in the brain and liver, significantly reducing scan times.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- Medical Physics
Background:
- Quantitative mapping is crucial for various MRI applications.
- Current multi-slice mapping methods can be time-consuming.
- Simultaneous Multi-Slice (SMS) techniques offer accelerated data acquisition.
Purpose of the Study:
- To develop a novel single-shot, multi-slice mapping method.
- To combine Simultaneous Multi-Slice (SMS) excitations with single-shot inversion-recovery (IR) radial fast low-angle shot (FLASH) sequences.
- To implement a nonlinear model-based reconstruction for improved parameter estimation.
Main Methods:
- Extended a single-slice calibrationless model-based reconstruction to SMS.
- Formulated parameter map and coil sensitivity estimation as a single nonlinear inverse problem.
- Applied joint-sparsity constraints for enhanced precision.
- Validated the method in phantoms and human brain/liver scans.
Main Results:
- Achieved accurate and precise multi-slice maps comparable to single-slice references.
- Demonstrated superior performance of SMS over conventional interleaved acquisitions in brain scans.
- Confirmed good accuracy, precision, and repeatability in 6 healthy subjects (brain and abdomen).
- Enabled rapid acquisition of 5 brain slices or 3 abdominal slices in 4 seconds.
Conclusions:
- The proposed IR SMS radial FLASH method enables rapid, high-resolution multi-slice mapping.
- The technique offers good accuracy, precision, and repeatability.
- This advancement has potential for accelerated quantitative MRI.
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