Abstract #3654

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

Xiang Feng¹, Alexander Loktyushin^2,3, Andreas Deistung^1,4, and Jürgen R. Reichenbach^1,5,6

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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