Abstract #2753
Influence of respiration-induced signal variations on the quantification of pulmonary perfusion parameters in free-breathing MRI
Olaf Dietrich 1 , Michael Ingrisch 1 , Felix Schwab 1 , Daniel Maxien 2 , Konstantin Nikolaou 2 , and Maximilian F. Reiser 1,2
1
Josef Lissner Laboratory for Biomedical
Imaging, Institute for Clinical Radiology, LMU Ludwig
Maximilian University of Munich, Munich, Germany,
2
Institute
for Clinical Radiology, LMU Ludwig Maximilian University
of Munich, Munich, Germany
Recently, the feasibility of
free-breathing
dynamic
contrast-enhanced (DCE) MRI for quantification of lung
perfusion has been demonstrated. The purpose of our
study was to analyze the influence of breathing-induced
signal variations on the accuracy and precision of
calculated perfusion parameters. Lung DCE-MRI data of 5
healthy volunteers were analyzed to determine typical
data properties; signal curves in lung tissue were
simulated and evaluated using a 1-compartment model. If
analyzed without noise, the statistical variations of
determined flow and volume parameters show clearly the
influence of respiration-induced signal variations; at
realistic noise levels, however, the influence of
respiration is relatively low.
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