Zhikui Xiao1, Ajit Shankaranarayan2,
Emine Ulku Saritas3, Shen Hao1, Cao Guang1
1Global Applied Science
Laboratory, GE Healthcare, Beijing, China, People's Republic of; 2Global
Applied Science Laboratory, GE Healthcare, Menlo Park, CA, United States; 3Department
of Bioengineering, University of California, Berkeley, CA, United States
In this study, a 2D-RF ASE EPI sequence with flow dephasing gradient was employed to acquire images that have different susceptibility weighting. Subsequently, based on the theoretical model proposed by Yablonskiy and Haacke [4] for characterizing signal changes in the presence of deoxyhemoglobin, R2and Oxygen Extraction Fraction (OEF) were estimated from the acquired images. We show that this sequence can dynamically monitor renal function and can be used to study and treat renal disease.