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Abstract #3655

An Automated Approach for the Quantification of Brain Oxygen Metabolism

Peiying Liu1, Yan Cao2, Jinsoo Uh1, Hanzhang Lu1

1Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States; 2Department of Mathematical Science, University of Texas at Dallas, Dallas, TX, United States

CMRO2 is an important index of tissue viability and brain function. A previous study proposed an MRI technique to estimate whole-brain CMRO2 by combining non-invasive measures of CBF, arterial and venous oxygenation, which is fast and reliable. The only major obstacle of this technique before wider applications is the slice positioning of the phase-contrast MRI scans for CBF measurement requires considerable training and expertise. We developed an automatic positioning algorithm for the phase-contrast MRI based on image analysis of a time-of-flight angiogram, and thus provide a turn-key solution for the quantitative evaluation of the whole-brain CMRO2, which has minimal operator-dependence.