Meeting Banner
Abstract #3553

Automated Detection, Evaluation and Removal of DWI-Related Artifacts

Danilo Scelfo1, Laura Biagi1, Mauro Costagli1, 2, Michela Tosetti1, 2

1IRCCS "Stella Maris" Scientific Institute, Pisa, Italy, Italy; 2IMAGO7, Pisa, Italy

We proposed algorithm for the automatic detection and removal of diffusion-related artifacts which seems to be a useful tool to be exploited in the normal DW images pre-processing. It allows the user to detect and evaluate potential artifacts and, if required, to remove the volume corresponding to the detected artifact and rearrange the coordinate table of the applied diffusion gradients.

Keywords

affect affected aimed allowing allows alternatively angular applied artifact artifacts automated automatic becomes biomedicine blindly brain brighter classification column columns comparing computed computing consequent coordinate coordinates correction created decades deleting described detail detect detected detection deviation deviations diffusion disruption dissimilar distance distances employed entire entity evaluate evaluating evaluation examined exploited fiber finally flowchart fully fundamental generated gradient gradients gray histogram histograms horizon identify imago index institute invariant investigated isolated language last laura list literature maps matrix median negative occurrences pitfalls potential predominance presence proceeds processing programming proper proposed qualitative quality quantifies quantitative rearrange rearrangement reason recent reconstruction reducing related removal remove removing report required resolution respect reveal scanner scientific seems semi sensibly setting several shape slice slices software sources spots start step strategies studied subsequent suspected table tensor term third threshold tool types typical useful user verify visually volume volumes whilst white whose widely winter