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Abstract #1484

Proton Perfusion Maps from Time Series of the Pulmonary Vasculature

Samuel Patz 1,2 , Iga Muradyan 1,2 , Ritu R. Gill 1,2 , Ravi T. Seethamraju 3 , Aaron B. Waxman 1,2 , and James P. Butler 1,2

1 Brigham and Women's Hospital, Boston, MA, United States, 2 Harvard Medical School, Boston, MA, United States, 3 Siemens Medical Systems, Boston, MA, United States

Pulmonary perfusion maps were computed from a time series data set in three ways: the Fourier component, the mean, and the standard deviation. Both the mean and standard deviation images produce higher quality perfusion maps than the Fourier component method. This is explained by the high contrast between blood vessels and pulmonary parenchyma (mean) and the high harmonic content of the blood waveform (standard deviation).

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