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Abstract #1584

Assessment of Variation induced by Physiological Motion in Multi-Slice Renal Diffusion-Weighted MRI at 3T

Iris FRIEDLI1, Lindsey Alexandra CROWE1, Sophie DE SEIGNEUX2, and Jean-Paul VALLEE1

1Department of Radiology, Geneva University Hospitals, Geneva, Switzerland, 2Department of Nephrology, Geneva University Hospitals, Geneva, Switzerland

Diffusion-Weighted Imaging (DWI) allows the non-invasive assessment of the whole kidney. However, multi-slice DWI remains challenging because of artifacts, such as motion, partly related to the multi-slice acquisition. Despite the use of physiological triggering schemes to limit respiratory artifacts, kidney images can be impacted by the presence of inhomogeneous signal dropout causing slice-to-slice signal variation of signal intensity and Apparent Diffusion Coefficient (ADC). In this study, we highlight the presence of signal dropout in DWI and ADC maps, and present feasibility of a novel motion and signal correction algorithm to provide robust renal DWI.

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