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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