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Abstract #2843

Improved magnetic dipole kernel for reconstruction methods in quantitative susceptibility mapping

Carlos Milovic1,2, Jose Miguel Pinto1,2, Julio Acosta-Cabronero3, Petr Dusek4,5, Vince Istvan Madai6, Till Huelnhagen7, Thoralf Niendorf7, Jens Wuerfel8, and Cristian Tejos1,2

1Department of Electrical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile, 2Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile, 3German Center for Neurodegenerative Deceases (DZNE), Magdeburg, Germany, 4Institute of Neuroradiology, University Medicine Goettingen, Goettingen, Germany, 5Department of Neurology and Center of Clinical Neuroscience, Charles University in Prague, 1st Faculty of Medicine and General University Hospital in Prague, Praha, Czech Republic, 6Department of Neurology and Center for Stroke Research Berlin (CSB), Charité-Universitaetsmedizin, Berlin, Germany, 7Berlin Ultrahigh Field Facility (B.U.F.F.), Max-Delbrueck Center for Molecular Medicine, Berlin, Germany, 8Medical Image Analysis Center, Basel, Switzerland

We propose a new magnetic dipole kernel for QSM reconstructions based on the discrete cosine transform and discrete derivative operators. The method minimises aliasing artefacts, reduces noise and improves detection of small objects and tissue interfaces. This is demonstrated numerically with a synthetic phantom and qualitatively with an ultra-high resolution QSM of post-mortem brain tissue.

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