Abstract #2003

Detection and remediation of ghost artifacts in low b-value diffusion MRI with ghost re-synthetization and 4-way phase-encoded data

Anh S Thai^1,2, Carlo Pierpaoli², Lin-Ching Chang¹, and M. Okan Irfanoglu²

¹Catholic University of America, Washington, DC, United States, ²QMI, NIBIB/National Institutes of Health, Bethesda, MD, United States

Synopsis

Keywords: Artifacts, Artifacts, diffusion mriWe propose a novel post-processing method for ghost artifact correction in low-b diffusion weighted images (DWIs) using ghost synthetization and four different phase-encoding direction (PED) images. The results from both simulations and real data show that our method can robustly detect and correct ghost artifacts on b=0 s/mm2 images for artifact-free image. The proposed method can be used further to generate ground truth training images for a machine-leaning method to remedy ghost artifacts in single PED acquisition.

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