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Abstract #4636

Assessment of Sequence and Assumption Imperfections on 1-point Dixon 129Xe Gas Exchange MRI Metrics

Matthew Willmering1, Alex Matheson1, Peter Niedbalski2, Zackary Cleveland1, Laura Walkup1, and Jason Woods1
1Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2University of Kansas Medical Center, Kansas City, KS, United States

Synopsis

Keywords: Hyperpolarized MR (Gas), Hyperpolarized MR (Gas)

Motivation: 129Xe gas exchange imaging evaluates multiple pulmonary functional compartments. However, the common 1-point Dixon approach to separate functional components relies on assumptions and is sensitive to imperfections.

Goal(s): To assess the effect of assumptions and sequence imperfections on quantitative metrics obtained with 1-point Dixon 129Xe gas exchange imaging.

Approach: Simulations were performed to model the error in the quantitative metrics based on these assumptions and imperfections. In-vivo data were collected to support the simulation findings.

Results: 129Xe gas exchange imaging metrics obtained using the 1-point Dixon approach are dependent on the accuracy of the assumptions and sequence parameters.

Impact: Hyperpolarized 129Xe gas exchange imaging metrics are sensitive to imaging parameters and assumptions. More advanced acquisitions and reconstructions will improve the accuracy and robustness of regional gas exchange metrics.

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Keywords