Abstract #3410

Investigating the Impact of Motion and Associated B0 Changes on Oxygenation Sensitive MRI through Realistic Simulations

Hannah Eichhorn^1,2, Kerstin Hammernik^3,4, Samira M. Epp^5,6, Dimitrios C. Karampinos⁷, Julia A. Schnabel^1,2,8, and Christine Preibisch⁹

¹Institute of Machine Learning in Biomedical Imaging, Helmholtz Center Munich, Munich, Germany, ²TUM School of Computation, Information and Technology; and TUM Institute for Advanced Study, Technical University of Munich, Munich, Germany, ³Lab for Artificial Intelligence in Healthcare and Medicine, Technical University of Munich, Munich, Germany, ⁴Department of Computing, Imperial College London, London, United Kingdom, ⁵Department of Neuroradiology, Neuroimaging Center, Technical University of Munich, Munich, Germany, ⁶Graduate School of Systemic Neurosciences, Ludwig-Maximilians-University, Munich, Germany, ⁷Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany, ⁸School of Biomedical Imaging and Imaging Sciences, King’s College London, London, United Kingdom, ⁹Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany

Synopsis

Keywords: Artifacts, Oxygenation, Motion SimulationT2*-weighted gradient echo imaging is strongly impacted by subject head motion, amongst others due to motion-related changes in B0 inhomogeneities. Within the oxygenation-sensitive mqBOLD protocol, motion artifacts in T2*-weighted images lead to errors in derived parameter maps. To quantify these errors, we performed realistic motion simulations incorporating rigid body transformations and motion-related field inhomogeneity changes. Our results demonstrate the importance of including B0 inhomogeneities for realistic motion artifact patterns. Even small amounts of simulated motion resulted in substantial errors in derived T2* and R2’ parameter maps, which highlights the relevance of T2* motion correction within the mqBOLD technique.

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