3D QALAS is a promising new technique that simultaneously maps T1, T2, and PD in a single 3D acquisition. We investigate the robustness of this technique to several acquisition and compressed sensing reconstruction parameters in phantom and brain images. Parameter maps were shown to be robust to B1 through the center portion of the slab, while compressed sensing did not demonstrate any effects on parameters in phantom or cause additional artifacts on parameter maps in human brain. 3D QALAS thus presents an attractive quantification method for therapy planning and tissue volume measurement applications.
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