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Fast T 1 mapping MRI in preclinical and clinical settings using subspace-constrained joint-domain reconstructions.
Lingceng Ma1,2, Qingjia Bao1,3, Ricardo P Martinho1
1Department of Chemical and Biological Physics and Azrieli National Center for Brain Imaging, Weizmann Institute of Science, Rehovot, 76001, Israel.
This study introduces fast T1 mapping techniques using subspace-constrained reconstructions for MRI scanners. These novel methods enable rapid T1 characterization in both clinical and preclinical settings, improving imaging efficiency.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- Medical Physics
- Biomedical Engineering
Background:
- Accurate T1 mapping is crucial for various clinical and preclinical MRI applications.
- Existing T1 mapping methods can be time-consuming, limiting their clinical utility.
Purpose of the Study:
- To develop and validate fast T1 mapping techniques for both preclinical and clinical MRI scanners.
- To enhance the efficiency of T1 characterization using subspace-constrained reconstructions.
Main Methods:
- Exploration of two rapid T1 characterization sequences: interleaved spatiotemporal encoding with variable repetition times and inversion recovery gradient echo with random phase-encoding sampling.
- Application of subspace reconstruction for joint image reconstruction and T1 relaxation characterization from down-sampled data.
- Validation through in vivo scans on human brains and abdomens, and preclinical scans on animals with tumors and dynamic contrast-enhanced kidney imaging.
Main Results:
- Demonstrated efficiency of the proposed subspace-constrained reconstruction methods for fast T1 mapping.
- Confirmed compatibility with breath-holding techniques in human scans.
- Showcased applicability in preclinical settings, including abdominal tumors and dynamic contrast-enhanced kidney imaging.
Conclusions:
- The developed fast T1 mapping methods based on subspace-constrained reconstructions are efficient and versatile.
- These techniques are suitable for both clinical and preclinical MRI, offering improved T1 characterization capabilities.
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