Abstract #0281

Systematic assessment of published QSM inversion algorithms for detecting longitudinal changes in brain susceptibility

Fahad Salman¹, Abhisri Ramesh¹, Thomas Jochmann^1,2, Mirjam Prayer¹, Niels Bergsland^1,3, Michael G. Dwyer^1,4, Dejan Jakimovski¹, Robert Zivadinov^1,4, and Ferdinand Schweser^1,4

¹Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, United States, ²Department of Computer Science and Automation, Technische Universität Ilmenau, Ilmenau, Germany, ³IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy, ⁴Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, NY, United States

Synopsis

Keywords: Quantitative Imaging, Quantitative Susceptibility mappingQuantitative susceptibility mapping (QSM) calculates the tissue magnetic susceptibility from gradient-echo phase images. Tissue magnetic susceptibility is of high clinical interest because it reflects tissue iron, myelin, and calcium. However, the clinical significance of these findings remains unclear. In particular, it is unknown if algorithms differ in their ability to detect group differences and longitudinal changes in susceptibility.The present work compared a large number of published algorithms with respect to their ability to detect aging-related changes over time.

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