Abstract #3169

No denoising, no diamonds? - In silico analysis of denoising methods for CEST MR imaging

Karl Ludger Radke¹, Vibhu Adriaenssens¹, Benedikt Kamp¹, Patrik Jan Gallinnis¹, Eric Bechler¹, Hans-Jörg Wittsack¹, Gerald Antoch¹, and Anja Müller-Lutz¹

¹University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, Düsseldorf, Germany, Düsseldorf, Germany

Synopsis

Keywords: CEST & MT, In SilicoCEST imaging requires a high SNR to detect low metabolite concentrations, especially at clinical used magnetic field strength (3 Tesla). In recent years, various approaches have been used to denoise CEST data. Our study investigated the performance of different denoising algorithms using 1000 synthetic CEST MR data. Our results showed that PCA produced the best denoising results for CEST MR imaging in a simulation study.

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