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

Feng, X; Loktyushin, A; Deistung, A; Reichenbach, J

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

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Loktyushin, A
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Feng, X., Loktyushin, A., Deistung, A., & Reichenbach, J. (2017). Image Quality Improvement by Applying Retrospective Motion Correction on Quantitative Susceptibility Mapping and R2*. Poster presented at 25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2017), Honolulu, HI, USA.

Cite as: https://hdl.handle.net/21.11116/0000-0000-C4D7-0

Abstract

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.