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Abstract #3205

Fast Automatic Spike Artifact Assessment in DTI Data for Monitoring Possible Hardware Issues

Daniel Gllmar1, Stefan Kmmer2, Jrgen R. Reichenbach3

1Medical Physics Group, Institute of Diagnostic and Interventional Radiology I , Jena University Hospital - Friedrich Schiller University Jena , Jena, Germany; 2Faculty of Computer Science and Automation, Technical University Ilmenau, Ilmenau, Germany; 3Medical Physics Group, Institute of Diagnostic and Interventional Radiology I, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany

A simple and fast algorithm for assessment of DTI spike noise based on the background signal was implemented and applied to more than 1500 data sets. The determined quality measure was used as indicator for hardware issues and correlated to recorded incidents in the past. We found that all relevant hardware problems which forward spike noise had have been detected using this approach.

Keywords

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