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Abstract #0451

Bias Field Correction in Hyperpolarized 129Xe Gas Ventilation MRI

Junlan Lu1, Ziyi Wang2, John C. Nouls3, Kush Gulati2, Elianna Bier2, David Mummy3, and Bastiaan Driehuys3
1Medical Physics Graduate Program, Duke University, Durham, NC, United States, 2Biomedical Engineering, Duke University, Durham, NC, United States, 3Radiology, Duke University, Durham, NC, United States

The presence of RF inhomogeneity in hyperpolarized 129Xe ventilation MRI affects quantitative analysis and interpretation. These inhomogeneities are commonly corrected using the N4ITK algorithm, which retrospectively calculates a smoothly varying bias field with non-uniform intensity normalization. However, this algorithm has not been rigorously validated for functional imaging. Here we show, using flip angle maps derived directly from 3D-radial acquisitions of ventilation, that N4ITK may over-correct bias field and remove inherent physiological gradients. We illustrate this comparison by a combination of simulation, phantom, and in vivo ventilation imaging.

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