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Abstract #2489

Velocity-compensated optimized diffusion encoding in respiratory-triggered renal ADC mapping

Sean McTavish1, Anh T. Van1, Johannes M. Peeters2, Kilian Weiss3, Marcus R. Makowski1, Rickmer F. Braren1, and Dimitrios C. Karampinos1
1Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany, 2Philips Healthcare, Best, Netherlands, 3Philips GmbH Market DACH, Hamburg, Germany


Diffusion-weighted imaging (DWI) and ADC mapping remains a potential biomarker for the assessment of renal fibrosis in chronic kidney disease and characterization of renal carcinoma. However, for body DWI applications including renal DWI, motion effects can confound the robustness of abdominal DWI. Motion-compensated diffusion encoding designs have been proposed as alternatives in overcoming the effect motion in other organs such as the liver and the pancreas. The purpose of this work is to assess the effect of respiratory motion and to apply motion compensated diffusion encoding waveforms in the context of coronal respiratory-triggered ADC mapping in the kidney.

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