Qinqin Yang1, Jiechao Wang1, Qizhi Yang1, Shuhui Cai1, Hongjian He2, Congbo Cai1, Zhong Chen1, and Jianhui Zhong2,3
1Department of Electronic Science, Xiamen University, Xiamen, China, 2The Center for Brain Imaging Science and Technology, the Collaborative Innovation Center for Diagnosis, and the Treatment of Infectious Diseases, Zhejiang University, Hangzhou, China, 3Department of Imaging Sciences, University of Rochester, Rochester, NY, United States
1Department of Electronic Science, Xiamen University, Xiamen, China, 2The Center for Brain Imaging Science and Technology, the Collaborative Innovation Center for Diagnosis, and the Treatment of Infectious Diseases, Zhejiang University, Hangzhou, China, 3Department of Imaging Sciences, University of Rochester, Rochester, NY, United States
Herein, we combine overlapping-echo detachment imaging with parallel acquisition and motion correction, to achieve fast quantification of T2 in severe head motion.
Figure 1. (A) Single-shot OLED sequence for overlapping-echo imaging. The four excitation pulses have a same flip angle α=30° and the refocusing pulse with a flip angle of β=180°. G1, G2, G3 and G4 are echo-shifting gradients for OLED encoding. (B) Framework of the proposed parallel reconstruction and motion correction and estimation for T2 mapping. Five-level U-Net is used for nonlinear mapping in these three learning tasks. LPC: Linear phase correction. MoCo: Motion correction.
Figure 5. (A) T2 mapping results of representative slices with continuous motion for subjects 1. (B) Mean T2 value curves from 4 ROIs (marked with red circles) of the 9 measurements in (A). The first image was selected as reference for coregistration. (C) The velocity field of the 9 measurements in (A) and representative example of motion vector field (highlighted with red dotted line) reconstructed.
