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Abstract #4139

Quantifying Hyperpolarized 129Xe Gas Exchange MRI Across Platforms, Field Strength, and Acquisition Parameters

Ziyi Wang1, Mu He2, Rohan Virgincar1, Elianna A Bier1, Sheng Luo3, and Bastiaan Driehuys1,4

1Biomedical Engineering, Duke University, Durham, NC, United States, 2Electrical and Computer Engineering, Duke University, Durham, NC, United States, 3Department of Biostatistics & Bioinformatics, Duke University Medical Center, Durham, NC, United States, 4Radiology, Duke University Medical Center, Durham, NC, United States

Quantitative analysis of 129Xe gas exchange MRI has previously employed linear binning, using thresholds derived from the mean and standard deviation of a healthy reference population. However, such distributions can be skewed from a purely Gaussian shape by differences in acquisition strategy and field strength, thereby complicating threshold determination. Here we demonstrate a generalization of previous binning methods by applying a Box-Cox transformation to derive non-linearly spaced reference thresholds. We provide new thresholds appropriate for 3T acquisitions and demonstrate the robustness of the approach by showing consistent quantification of subjects scanned longitudinally across platforms, field strengths, and acquisition parameters.

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