Three-dimensional simultaneous brain T₁ , T₂ , and ADC mapping with MR Multitasking.

Area of Science:

• Magnetic Resonance Imaging (MRI)
• Medical Physics
• Neuroimaging

Background:

• Accurate multiparametric quantification of brain tissue properties is crucial for diagnosing and monitoring neurological conditions.
• Existing MRI techniques for T1, T2, and ADC mapping often require long scan times and can suffer from image distortions.
• The MR Multitasking framework offers a potential solution for efficient and simultaneous data acquisition.

Purpose of the Study:

• To develop and validate a simultaneous T1, T2, and ADC mapping method using the MR Multitasking framework.
• To achieve co-registered, distortion-free, multiparametric quantification of 3D brain coverage within a clinically feasible scan time.

Main Methods:

• A novel T1/T2/diffusion weighting scheme was implemented using T2 and diffusion preparations.
• A 5-way low-rank tensor model was employed to represent the multidimensional image data.
• Real-time low-rank modeling with time-resolved phase correction compensated for motion-induced phase inconsistencies.

Main Results:

• The MR Multitasking method produced perfectly co-registered and distortion-free T1, T2, and ADC maps.
• Phantom studies demonstrated substantial quantitative agreement with reference protocols.
• In vivo studies showed excellent agreement (ICC > 0.82) with minimal bias (<5-7%) compared to reference methods, with no significant regional differences.

Conclusions:

• The MR Multitasking approach enables simultaneous and accurate quantification of T1, T2, and ADC values.
• The method provides distortion-free, co-registered maps suitable for clinical applications.
• This technique holds promise for improving the efficiency and diagnostic capabilities of brain MRI.