Daniel Ludwig Weber1, 2, Stefan Weick2, Markus Lototchi2, Sairamesh Raghuraman2, 3, Titus Lanz3, Daniel Haddad1, 2, Peter Michael Jakob, 12
1MRB Research Center for Magnetic Resonance Bavaria e.V., Wrzburg, Bavaria, Germany; 2Department of Experimental Physics 5 (Biophysics), University of Wrzburg, Wrzburg, Bavaria, Germany; 3RAPID Biomedical GmbH, Rimpar, Bavaria, Germany
Dynamic 3D imaging may provide valuable additional information in knee injuries and increases specificity of the diagnosis. A motion device was used allowing an active and thus physiological movement of the knee. For the correlation between the motion and the MR acquisition, a retrospective self-gated 3D sequence with a quasi-random sampling scheme together with a 16 channel U-shaped phased array coil was used. The upward and downward motions were differentiated using the derivative of the DC-signal. Six 3D datasets (corresponding to motion states) were reconstructed retrospectively. For the reconstruction of the images, adaptive combining and iterative GRAPPA was applied.
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