Keywords: Quantitative Imaging, Quantitative Imaging
Motivation: Fat DESPOT, a fat and water R1 mapping technique, has been proposed to image tumor hypoxia through the oxygen-induced change in fat R1.
Goal(s): Using the complex signal for Fat DESPOT doubles the usable data for each acquisition, reducing the total number of acquisitions required and scan time.
Approach: The published magnitude approach to fat DESPOT was compared to the complex approach in simulations and phantom experiments.
Results: Compared to the magnitude approach, the complex approach to Fat DESPOT increased the precision and accuracy of fat R1 estimates in simulations and phantom experiments and increased the accuracy of PDFF in phantom experiments.
Impact: This study suggests that the complex approach to fat DESPOT R1 measurements could reduce imaging time without compromising PDFF or R1f estimates. It could therefore offer sensitive and versatile R1-based tumor hypoxia mapping in potentially clinically feasible scan times.
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