Anh Tu Van1, Dimitrios C. Karampinos2,3, Bradley P. Sutton1,4
1Electrical and Computer Engineering, University of Illinois, Urbana, IL, USA; 2Mechanical Science and Engineering, University of Illinois, Urbana, IL, USA; 3Beckman Institute, University of Illinois, Urbana, IL, USA; 4Bioengineering, University of Illinois, Urbana, IL, USA
3D diffusion-weighted imaging (DWI) is highly desirable when high-resolution isotropic voxels are needed in diffusion tensor imaging. However, 3D DWI is prone to motion-induced phase errors, much more than the 2D DWI case. In this work, we extend a previously developed method for motion-induced phase error correction to 3D DWI data. Based on a simple 3D acquisition strategy and rigid-body motion model for the motion-induced phase errors, the new method is time efficient. Both simulation and in vivo experiments are performed to demonstrate the robustness and effectiveness of the proposed method.
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