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Abstract #0032

Spatial Scaling of Respiratory-Triggered Liver Diffusion Weighted Imaging

Johannes K. J. Raspe1,2, Anh T. Van1, Felix Harder1, Sean McTavish1, Johannes Peeters3, Kilian Weiss4, Marcus R. Makowski1, Rickmer F. Braren1, and Dimitrios C. Karampinos1
1Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany, 2Department of Physics, Technical University of Munich, Garching, Germany, 3Philips Healthcare, Eindhoven, Netherlands, 4Philips GmbH Market DACH, Hamburg, Germany


Physiological motion induces signal loss in diffusion-weighted imaging of the liver even when respiratory triggering is employed. Cardiac motion mostly affects the left liver lobe resulting in an inhomogeneous signal appearance and overestimation of the apparent diffusion coefficient (ADC). Spatial scaling is an algorithm that handles the intrinsic weighting of signal by rejecting bad acquisitions and voxels with subsequent calculation of a spatially dependent scaling factor for the final averaging. The present work shows that by adding such a spatial scaling postprocessing step, liver signal homogeneity can be increased, and overestimation of the ADC can be reduced.

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