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Abstract #2595

Artifact correction based on diffusion coefficient

Gregory Lemberskiy 1,2 , Dmitry S Novikov 1 , and Els Fieremans 1

1 New York University School of Medicine, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York, NY, United States, 2 Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY, United States

DWI images in the body are often afflicted with systematic vibration artifacts (SVA), characterized by localized regions of signal dropout. Generalized image processing techniques, such as outlier detection and histogram-based methods, require either large datasets or cannot account for nonlinear phenomena such as RF inhomogeneity. To overcome these limitations, we propose a rejection scheme based on unphysical diffusion coefficient values of the directional ADC, called Artifact Correction based on Diffusion Coefficient (ACDC). ACDC does not require many directions or averages to be efficient. Hence, its implementation in clinical systems would be straightforward.

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