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Abstract #2427

Spatial-Temporal Super-Resolution Technique on Complex-Valued T2*-Weighted Dynamic MRI

Duohua Sun1, Chidi Patrick Ugonna1, Marc Lindley1, and Nan-kuei Chen1

1Biomedical Engineering, University of Arizona, BIO5 institute, Tucson, AZ, United States

We present an approach for improving spatial and temporal resolution of complex-valued T2*-weighted dynamic MRI. Compared with traditional magnitude-valued spatial super-resolution method, our technique can better recover signal loss caused by the susceptibility dephasing effect. We propose that phase information can be utilized in spatial super-resolution to reduce the dephasing artifact. The feasibility of temporal super-resolution using complex-valued data is also separately evaluated for time-signal variation recovery. One limitation of our temporal super-resolution approach, which will be addressed in our future work, is the presence of leakage artifacts in the recovered time-signal due to linear interpolation bias.

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