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Abstract #3571

Template-based bias field correction of Hyperpolarized 129Xe Gas Ventilation MRI

Junlan Lu1, David Mummy2, Suphachart Leewiwatwong3, Elianna Bier3, and Bastiaan Driehuys2
1Medical Physics, Duke University, Durham, NC, United States, 2Radiology, Duke University, Durham, NC, United States, 3Biomedical Engineering, Duke University, Durham, NC, United States

Accurately correcting hyperpolarized 129Xe ventilation MRI for coil-induced bias field remains the most significant obstacle to precise, repeatable quantitative image analysis. Estimates using B1 maps from RF-depletion in radially acquired images may provide an improvement on the standard N4ITK solution, which recent works suggests may perform an overly aggressive correction. Here, we develop a template-based approach to bias field correction using B1 maps derived from multiple subjects. This paradigm is then evaluated by applying it to a set of test images reflective of a range of disease types and levels of ventilation obstruction.

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