Rajiv G. Menon1, Bradley P. Sutton2, Donald B. Twieg3, Timothy J. Carroll1
1Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States; 2Bioengineering Department, University of Illinois at Urbana-Champaign, Urbana, IL, United States; 3Biomedical Engineering Department, University of Alabama at Birmingham, Birmingham, AL, United States
We propose a novel technique for the measurement of oxygen extraction fraction (OEF) using Parameter Assessment by Retrieval from Signal Encoding (PARSE) techniques. OEF is a key indicator of cerebral perfusion and gives crucial information regarding the stage of vascular compromise in patients with neurovascular disease. PARSE is an efficient, multi-parameter estimation technique, that uses a more accurate signal model to simultaneously measure M0, R2* and local frequency. By direct measurement of local frequency changes due to OEF related susceptibility changes using PARSE, we determine the feasibility of robustly estimating OEF in pathological situations.