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.
