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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