Jin Tang1, Thomas Stewart Denney2, Nouha Salibi3, Sagar Buch4, Yongquan Ye5, Ewart Mark Haacke1, 5
1Magnetic Resonance Innovations, Detroit, MI, United States; 2MRI Research Center, Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, United States; 3Siemens Healthcare USA, Malvern, PA, United States; 4School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada; 5Academic Radiology, Wayne State University, Detroit, MI, United States
Knowledge of oxygen saturation is important to characterize the physiological or pathological state of tissue function in the brain. Quantitative susceptibility mapping (QSM) can be potentially used to detect venous oxygen saturation levels. When using QSM, image resolution is very important to measuring oxygen saturation since partial voluming will dramatically decrease the estimated susceptibility inside the veins especially for small vessels. In this work, effect of image resolution on susceptibility inside different sized vessels has been investigated using 3D brain model simulations and a 7T dataset. Additionally, sources of error in oxygen saturation quantification derived by QSM are also investigated.