Meeting Banner
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 Zhong1,4
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 T2 maps, B1 maps and spin densities in synchrony. The sequence efficiencies were demonstrated in digital-brain, phantom and human-brain experiments.

This abstract and the presentation materials are available to 2020 meeting attendees and eLibrary customers only; a login is required.

Join Here