MOtion Correction Using Coil Arrays (MOCCA)

Peng Hu¹, Mehdi H. Moghari¹, Beth Goddu¹, Lois A. Goepfert¹, Thomas H. Hauser¹, Warren J. Manning¹, Reza Nezafat¹

We present a novel motion correction method using coil arrays (MOCCA). In MOCCA, the elements of a coil array are used as individual motion sensors which detect the motion-induced signal variations that are modulated by coil sensitivity maps. The inclusion of multiple coils by stacking multi-coil data into a column vector increased the accuracy of motion detection compared to existing methods based on projections. We evaluate the accuracy of MOCCA in a phantom and demonstrated the application of MOCCA on healthy volunteers for bulk motion correction in brain imaging and for respiratory and cardiac self-gating in cardiac cine imaging.