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Abstract #0894

Deep Learning-based Single-shot T2* Mapping Using Multiple Overlapping-Echo Detachment Acquisition

Qinqin Yang1, Jian Wu1, Wei Wang1, Jiyang Dong1, Shuhui Cai1, and Congbo Cai1
1Department of Electronics Science, Xiamen University, Xiamen, Fujian, China

Quantitative MRI is of great value to both clinical diagnosis and scientific research. In this study, a novel T2* mapping method, gradient-echo multiple overlapping-echo detachment acquisition (GRE-MOLED) sequence with deep learning-based reconstruction algorithm was proposed. The method is capable of acquiring reliable T2*, M0 and B0 maps simultaneously in a single shot and is robust to B0-inhomogeneities. As a rapid T2* quantitative tool, GRE-MOLED reduces the scan time of T2* mapping to less than 75 ms per slice and has great potential in clinical real-time applications.

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