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.
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