Abstract #2843

Improved magnetic dipole kernel for reconstruction methods in quantitative susceptibility mapping

Carlos Milovic^1,2, Jose Miguel Pinto^1,2, Julio Acosta-Cabronero³, Petr Dusek^4,5, Vince Istvan Madai⁶, Till Huelnhagen⁷, Thoralf Niendorf⁷, Jens Wuerfel⁸, and Cristian Tejos^1,2

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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