Abstract #4186

Investigating the Effect of Image Resolution on Susceptibility Values Inside the Vessels for Venous Oxygen Saturation Quantification

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.