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Abstract #2457

Enhanced Motion Correction Combining PROPELLER and Parallel Imaging

Yi Guo1, Xiaoke Wang2, Sheng Fang3, Kui Ying4, Hua Guo5, Shi Wang4

1Dept.of Electrical Engineering, Tsinghua University, Beijing, China; 2Dept.of Biomedical Engineering, Tsinghua University; 3Institute of nuclear and new energy technology, Tsinghua University; 4Dept.of Engineering Physics, Tsinghua University; 5Center for Biomedical Imaging Research, Tsinghua University

In this study we proposed a method to combine parallel imaging (PI) with PROPELLER to correct non-rigid motion in addition to rigid motion either within a blade or between blades. Instead of using PI techniques to speed up MR acquisition, here the data redundancy in fully sampled PI is exploited to detect and eliminate corrupt k-space lines, thus to correct a variety of motion. We use CG-PROPELLER to reconstruct the image from multi-coil PROPELLER data, and then split back to original k-space blades. By comparing the difference between the regenerated and original lines for all blades, corrupt lines are detected and discarded. The final image is then reconstructed from the under-sampled data using CG-PROPELLER. Both phantom and in-vivo results show the feasibility of enhanced non-rigid motion correction.