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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