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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