Meeting Banner
Abstract #3204

Joint Estimation Based Phase Error Correction in Multi-Shot Spiral Diffusion Weighted Imaging

Pan Su1, Xiaodong Ma2, Wenchuan Wu2, Hua Guo2

1School of Electronic and Information Engineering, Beihang University, Beijing, China; 2Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China

Phase inconsistencies among different shots in multi-shot diffusion imaging causes artifacts in final images. Oversampling in k-space center is thus required to remove these errors, however, it inevitably lengthens the readout window and introduces further blurring artifacts. In this study, a new method is proposed to estimate object function and motion-induced phase map in muti-shot spiral DWI jointly, and is validated by the simulation results. Our proof-of-concept work demonstrates that this method estimates the desired artifact-free image more accurately than self-navigator based technique when navigator information is limited, which has potential utilization in high resolution diffusion imaging.

Keywords

accurate accurately achieve acquisition added adding aliasing alleviated amount apply arrows artifacts audience authors background biomedical channel china clinicians code coil component concept consider consisting correction critical denotes density derived diffusion direct directly eight electronic enforce engineering equation error errors estimation even extend final firstly five free frequencies function gauss global gradient helpful improved in vivo inconsistencies increasing index induced interleaved introduce involuntary iterative iteratively joint jointly lastly lead leads like limited linear little long loss maps matrix measured medicine mentioned minor motion much national navigator newton noise nonlinear noteworthy numerical object objects operator oversampled oversampling penalizing performance plan preliminary program proposed pulse random readout real reconstruct reconstructed reconstruction regular regularization regularized removed removes representative required residual resolution scanner school secondly self sensitivity severe shot shots simulation simulations slice smoothness solved song space spiral still subject suffers system target technology thank theory thirdly traditional traditionally trajectories trajectory typical utilization validate validated variable window