Abstract #3589

Single-shot T2 mapping improvement through Multi-train Multiple Overlapping-Echo Detachment planar imaging sequence

Xiaoyin Wang¹, Qizhi Yang², Hongjian He¹, Congbo Cai², Yi-Cheng Hsu³, and Jianhui Zhong^1,4

¹Center for Brain Imaging Science and Technology, Department of Biomedical Engineering, Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, China, ²Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China, ³MR Collaboration, Siemens Healthcare Ltd., Shanghai, China, ⁴Department of Imaging Sciences, University of Rochester, Rochester, NY, United States

Magnetic Resonance parametric mapping can provide quantitative information to characterize tissue properties. Recently, a single-shot T₂ mapping method based on Multiple Overlapping-Echo Detachment (MOLED) planar imaging was proposed. However, limited echo time ranges still affected the reconstruction accuracy of the T₂ values, especially when large T₂ value ranges were present. In this abstract, MOLED was expanded through multiple-echo-train acquisitions that achieved high accuracy and better texture. The deep convolution neural network was used to reconstruct T₂maps, B₁ maps and spin densities in synchrony. The sequence efficiencies were demonstrated in digital-brain, phantom and human-brain experiments.

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