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Abstract #3177

Simulations of systematic error in a new quantitative BOLD method incorporating an independent measure of deoxygenated blood volume

Alan J Stone1 and Nicholas P Blockley2
1Department of Medical Physics and Clinical Engineering, St. Vincent’s University Hospital, Dublin, Ireland, 2School of Life Sciences, University of Nottingham, Nottingham, United Kingdom

Synopsis

Keywords: Oxygenation, Oxygenation, qBOLD

Motivation: To investigate sources of error in a new quantitative BOLD technique incorporating an independent measure of deoxygenated blood volume.

Goal(s): Simulate the effect of systematic error and system noise on estimates of oxygen extraction fraction.

Approach: Monte Carlo simulations of the random walk of protons around deoxygenated blood vessels modelled as infinite cylinders were performed using a standard approach.

Results: These simulations show that introducing an independent measure of DBV into the qBOLD framework provides improved estimates of oxygen extraction fraction.

Impact: This improved technique for mapping oxygen extraction has wide applications in the study of neurological disorders including stroke, dementia and cancer.

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