TOWERS: T-One with Enhanced Robustness and Speed.

Area of Science:

• Magnetic Resonance Imaging (MRI)
• Quantitative MRI
• Biomedical Engineering

Background:

• T1 mapping is crucial for characterizing tissue properties using MRI.
• Existing T1 mapping methods can be slow and susceptible to motion artifacts, limiting clinical utility.
• Developing rapid and motion-robust T1 mapping techniques is essential for improved diagnostic accuracy.

Purpose of the Study:

• To introduce and validate a novel T1 mapping method named TOWERS (T-One with Enhanced Robustness and Speed).
• To demonstrate the accuracy, speed, and robustness to motion of the proposed TOWERS method.
• To enable efficient and reliable whole-brain T1 mapping within a clinically feasible timeframe.

Main Methods:

• TOWERS combines inversion recovery (IR) and saturation recovery (SR) acquisitions with a slice reordering scheme.
• Generalized Autocalibrating Partially Parallel Acquisitions (GRAPPA) coefficients are updated dynamically for motion correction.
• Sub-voxel magnetization tracking is employed to address motion-induced signal changes.

Main Results:

• Whole-brain T1 mapping achieved with 1.56 × 1.56 × 2.00 mm resolution in under 2.5 minutes.
• Excellent agreement between TOWERS and the gold-standard IR method in phantom studies.
• High reproducibility in vivo and high-quality T1 maps obtained despite severe motion, demonstrating robustness.

Conclusions:

• The TOWERS method is validated as a rapid, accurate, and motion-robust T1 mapping technique.
• Unique features include multiple GRAPPA calibrations and sub-voxel magnetization tracking.
• TOWERS offers significant advantages for clinical MRI applications requiring precise T1 quantification.