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Abstract #3654

Image Quality Improvement by Applying Retrospective Motion Correction on Quantitative Susceptibility Mapping and R2*

Xiang Feng1, Alexander Loktyushin2,3, Andreas Deistung1,4, and Jürgen R. Reichenbach1,5,6

1Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany, 2Empirical Inference, Max Planck Institute for Intelligent Systems, Tübingen, Germany, 3High-Field MR, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 4Section of Experimental Neurology, Department of Neurology, Essen University Hospital, Essen, Germany, 5Center of Medical Optics and Photonics, Friedrich Schiller University Jena, Jena, Germany, 6Michael Stifel Center for Data-driven and Simulation Science Jena, Friedrich Schiller University Jena, Jena, Germany

The aim of this study was to quantitatively assess the improvement of image quality on motion corrupted quantitative susceptibility mapping (QSM) and the effective transverse relaxation rate (R2*) maps, after applying retrospective motion correction. Image quality was assessed using the following metrics: SNR in different brain tissues, histogram analysis, and linear correlation between susceptibility and R2* values in subcortical structures.

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