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Abstract #1711

Improving Quantitative Susceptibility and R2* Mapping by Applying Retrospective Motion Correction

Xiang Feng 1 , Alexander Loktyushin 2 , Andreas Deistung 1 , and Juergen R. Reichenbach 1

1 Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany, 2 Empirical Inference, Max Planck Institute for Intelligent Systems, Tbingen, Germany

Subject motion during MR scans can cause motion artifacts in magnitude and phase images, and impair subsequent quantitative susceptibility mapping and R2* analysis. We propose using an autofocusing-based fully data-driven retrospective rigid motion correction approach (GradMC) to suppress the motion artifacts in both magnitude and phase images prior to computing QSM and R2*. Our experiments demonstrate the improved accuracy of QSM and R2* techniques in the presence of subject motion, and open promising directions for the future research.

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