Meeting Banner
Abstract #4254

Restoration of Within-FOV Aliasing in Propeller MRI Using Kt-Blast

Su-Chin Chiu1, Hing-Chiu Chang2, Tzu-Chao Chuang3, Fu-Nien Wang4, Hsiao-Wen Chung1

1Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan; 2GE Healthcare, Taiwan; 3Electrical Engineering, National Sun Yat-Sen University, Taiwan; 4National Tsing Hua University, Taiwan

The FOV of Propeller MRI is approximately circular due to the rotating blade sampling pattern in the k-space, causing within-FOV aliasing artifact. In this article we proposed a self-training method similar to kt-Blast to restore the aliasing artifact to the conventional rectangular FOV. Phantom experiments were performed to verify the proposed method. Results show good agreement with conventional Cartesian sampling.

Keywords

abdominal according acquisition additional agent alias aliased aliasing apart apparent applicable applied appropriate arrows artifact back bands benefit blade blades blast blurring bottles boundaries bulk causing chin circular compensated compensation compute conducted contained container containing contains contrast contribution conventionally corner corners coronal corrected correction currently dependent differs diluted dotted effectiveness electrical electronics eliminating emulsion engineering entire equation existing extra falling fast field function gadolinium ghosts hence highly inside intensity leading limitations located long loss materials middle minor modifications motion national nature need object oblique orientation original originally outside pattern phantom pipe pitfall pixel pixels placed placements position prescribed prescription preserved previous problem produce produces propeller propose proposed quality readout reconstructed reconstructing reconstruction rectangular resolution restoration restore rotate rotated rotating rotation sampling saturation scanner scanning scheme section sensitivity separate separately shape slice slight solve space spin stored subsequent successful successfully suffer termed terms theory training treated true various verify view water white