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Abstract #4055

Effective removal of aliasing artifacts in accelerated echo-planar imaging (EPI) based functional MRI (fMRI)

Silu Han1, Chidi Patrick Ugonna1, and Nan-kuei Chen1,2
1Biomedical Engineering Department, The University of Arizona, Tucson, AZ, United States, 2Medical Imaging Department, The University of Arizona, Tucson, AZ, United States


An integrated post-processing algorithm has been developed for effectively removing various types of aliasing artifact due to consecutive echo asymmetry, in-plane k-space under-sampling, through-plane acceleration with multi-band (MB) imaging and motion-induced phase variations in EPI based fMRI data. This algorithm uses a novel two-dimensional (2D) coil-signature-based phase-cycled correction method for 2D Nyquist artifact removal without calibration scans, and is capable of simultaneously removing: (1) aliasing artifacts due to in-plane and through-plane acceleration in single-shot and multi-shot EPI; (2) motion-induced phase errors in multi-shot EPI. Experimental results illustrate the effectiveness of the developed method, and its successful application to fMRI studies.

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