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Rapid combined T1 and T2 mapping using gradient recalled acquisition in the steady state
Sean C L Deoni1, Brian K Rutt, Terry M Peters
1Imaging Research Laboratories, Robarts Research Institute, London, Ontario, Canada.
Magnetic Resonance in Medicine
|February 21, 2003
Summary
A new 3D magnetic resonance imaging method accurately maps T1 and T2 relaxation times efficiently. This technique enables real-time whole-brain T1 and T2 mapping for clinical applications.
Area of Science:
- Magnetic Resonance Imaging
- Biomedical Engineering
- Medical Physics
Background:
- Accurate T1 and T2 relaxation time mapping is crucial for quantitative MRI.
- Existing methods often suffer from long acquisition times or lower accuracy.
- There is a need for efficient and high-resolution relaxation time mapping techniques.
Purpose of the Study:
- To present a novel, fully 3D, high-resolution method for simultaneous T1 and T2 mapping.
- To evaluate the accuracy and efficiency of the proposed method compared to conventional techniques.
- To demonstrate the potential for real-time clinical application of whole-brain T1 and T2 mapping.
Main Methods:
- Developed a steady-state imaging technique utilizing spoiled gradient recalled echo (SPGR) and refocused steady-state free precession (SSFP) sequences.
- T1 information derived from optimized flip angle SPGR images.
- T2 information derived by combining T1-weighted SPGR data with SSFP images.
Main Results:
- Achieved approximately 7% error for T1 (300-2000 ms) and T2 (30-150 ms) mapping in phantom and in vivo studies.
- Demonstrated superior efficiency, being three times more efficient than multipoint inversion recovery (IR) and multiecho spin-echo (SE) methods.
- Enabled whole-brain T1 and T2 mapping with 1 mm³ isotropic voxels in under 15 minutes, including post-processing.
Conclusions:
- The novel method provides accurate and highly efficient 3D T1 and T2 mapping.
- This technique significantly reduces acquisition time, facilitating real-time clinical applications.
- The presented approach represents a substantial advancement in quantitative MRI for diagnostics and research.