Abstract #3434

Performance of Multipool Lorentzian fitting for CEST-MRI using joint spatial regularization

Markus Huemer¹, Oliver Maier¹, Moritz Simon Fabian², Manuel Schmidt², Arnd Dörfler², Kristian Bredies³, Moritz Zaiss^2,4, and Rudolf Stollberger^1,5

¹Institute of Biomedical Imaging, Graz University of Technology, Graz, Austria, ²Institute of Neuroradiology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), University Hospital Erlangen, Erlangen, Germany, ³Institute of Mathematics and Scientific Computing, University of Graz, Graz, Austria, ⁴High-Field Magnetic Resonance Center, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, ⁵BioTechMed Graz, Graz, Austria

Synopsis

Keywords: Data Analysis, CEST & MTThis work investigates an improved quantification algorithm for CEST spectra using a joint Frobenius TGV regularization. The performance is assessed with simulations, phantom and in-vivo measurement with respect to systematic errors and robustness. For comparison, a pixel-wise fit using the Levenberg-Marquardt algorithm and the IDEAL algorithm were implemented. The $$$TGV_j$$$ algorithm shows the best performance in the main parameter fitting stability and parameter SNR.

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