Quantitative MRI

Magnetic Resonance Fingerprinting

2024–2025

Motion-compensated diffusion encoding for simultaneous T1, T2, and ADC mapping, with liver validation, 0.55T feasibility studies, and open-source Julia code.

Liver T1, T2, and ADC maps from MR fingerprinting compared with reference scans in three subjects
Liver T1, T2, and ADC maps from MR fingerprinting and reference scans Figure 7, Velasco, Castillo-Passi et al., MRM 2025, CC BY 4.0.

Why it matters

Combining relaxation and diffusion measurements can provide complementary information about liver tissue. Acquiring them together is challenging: motion during diffusion encoding can cause signal loss and unreliable measurements.

Contribution

DiffPrep optimizes motion-compensated gradient waveforms for diffusion-preparation modules. The open-source Julia implementation makes the waveform optimization reproducible and provides the gradients used in our liver MR fingerprinting study.

Combined with peripheral pulse triggering and a breath-held acquisition, these preparations enable co-registered T1, T2, and apparent diffusion coefficient (ADC) maps in approximately 16 seconds. The method was evaluated in phantoms and healthy volunteers; evaluation in patients remains future work.

Diffusion-prepared MRF at 0.55T

The low-field feasibility study combines radial bSSFP readouts with inversion recovery, T2 preparation, and optimized diffusion-preparation pulses over 16 heartbeats. Simultaneous T1, T2, and ADC mapping was validated in phantoms against spin-echo references at 0.55T.

The cardiac studies presented at ISMRM and SCMR 2024 investigate T1 and T2 mapping without diffusion preparation or motion-compensated diffusion gradients. Radial bSSFP acquisitions over 16 heartbeats were evaluated in phantoms and healthy volunteers. These studies establish low-field cardiac MRF feasibility; they are distinct from the diffusion-prepared approach above.

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