Implementing multi-echo balanced SSFP with a sequential phase-encoding order at 7T

13/08/2020: 15:05  - 15:50 
1217 
Oral 
Room: Thursday Parallel 4 
   In the past decade, passband bSSFP has emerged as an alternative method
to the widely-used GE-EPI in fMRI studies at high-fields. Multiline bSSFP with
an interleaved phase-encoding order was further proposed to accelerate bSSFP
fMRI. However, it intrinsically suffers from high
spatial frequency ghosts which blur the image. In this study, we developed a multi-echo
bSSFP sequence using a sequential phase-encoding order, combined with the GRAPPA
technique for ghost elimination. In vivo experiments demonstrated that
this sequence could shorten the imaging time and provide high-quality
structural and functional MR images of the human brain at 7T with
sub-millimeter resolution.

Author String

Huilou Liang, Ziyi Pan, Chencan Qian, Kaibao Sun, Fanhua Guo, Dehe Weng, Jing An, Yan Zhuo, Hua Guo, Danny J.J. Wang, Rong Xue 

Institution String

State Key Laboratory of Brain and Cognitive Science, Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, State Key Laboratory of Brain and Cognitive Science, Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, University of Chinese Academy of Sciences, State Key Laboratory of Brain and Cognitive Science, Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, State Key Laboratory of Brain and Cognitive Science, Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Siemens Shenzhen Magnetic Resonance Ltd, Siemens Shenzhen Magnetic Resonance Ltd, State Key Laboratory of Brain and Cognitive Science, Beijing MRI Center for Brain Rese 

Speaker

Huilou Liang, Institute of Biophysics, Chinese Academy of Sciences