Noninvasive quantification of renal venous oxygenation with field-insensitive T2 preparation and fast acquisition
Qingyu Xu1, Dengrong Jiang2, Yi-Cheng Hsu3
1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China.
Purpose:
The development of a reliable MRI technique to quantify renal oxygen extraction fraction and metabolism can help in the evaluation of tissue hypoxia in kidney diseases. This study aims to develop a field inhomogeneity-insensitive and motion-robust method for noninvasive renal oxygenation quantification.
Methods:
A new sequence using adiabatic T2 preparation (B1-insensitive-rotation-n) with Fourier transform-based velocity-selective saturation and echo-planar imaging readout was proposed, referred to as TRUFIFA (T2 relaxation under field-insensitive preparation and fast acquisition). We first demonstrated a robust T2 quantification at different B0 and B1 offsets through simulation and phantom studies. Then, the sequence parameters were optimized in vivo with considerations of signal-to-noise ratio and contrast-to-noise ratio. The performance of the new sequence was shown using the comparison between B1-insensitive-rotation-n and MLEV T2 preparation. Finally, the test-retest reproducibility of the new method was examined.
Results:
Simulation and phantom studies demonstrated a robust T2 quantification at different B0 and B1 offsets. Optimized free-breathing TRUFIFA yielded an averaged Yv of 87.5 ± 2.6%, the feasibility of which in vivo was further shown by a positive correlation between venous T2 and blood flow (R2 = 0.33). An excellent reproducibility was found with a coefficient of variation of intrasession (T2: 1.79 ± 0.88%, Yv: 0.88 ± 0.48%) and intersession (T2: 3.81 ± 2.23%, Yv: 1.81 ± 0.94%).
Conclusion:
A new method for quantification of renal oxygenation with inhomogeneity-insensitive T2 preparation and fast acquisition was developed, which has the potential for clinical applications.
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