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Abstract #0322

One-Dimensional k-Space Metrics on Cone Surfaces for Quantitative Susceptibility Mapping

Maximilian N. Diefenbach1, Christof Böhm1, Jakob Meineke2, Chunlei Liu3, and Dimitrios C. Karampinos1

1Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany, 2Philips Research, Hamburg, Germany, 3Department of Electrical Engineering and Computer Sciences, & Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States

An important question in QSM is how to compare different QSM reconstructions. We propose new metrics to compare susceptibility maps on cone surfaces in the Fourier domain following the intrinsic geometry of the dipole kernel. This physically motivated approach augments the idea of previously proposed error spectrum plots in MRI image reconstruction to specifically suit the QSM dipole inversion. The novel metrics complement previous metrics used in the 2016 QSM reconstruction challenge.

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