Abstract #0102

A novel iterative sparse deconvolution method for multicolor 19F-MRI

Jasper Schoormans¹, Claudia Calcagno², Mariah Daal¹, Christopher Faries², Brenda L Sanchez-Gaytan², Aart J Nederveen³, Zahi A Fayad², Willem J M Mulder², Bram F Coolen¹, and Gustav J Strijkers^1,2

¹Department of Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, Netherlands, ²Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, ³Department of Radiology, Academic Medical Center, Amsterdam, Netherlands

We introduce a new deconvolution approach for multicolor imaging of different 19F compounds with complex spectra. The method exploits the sparse nature of most 19F images by iterative sparse deconvolution, removes the chemical shift artifacts associated with multiple peaks in the 19F spectra, and efficiently separates multiple 19F compounds in the images. We performed numerical simulations and phantom experiments, which showed that the signal from two fluorinated compounds, i.e. PFOB and PFCE, can be separately detected without chemical shift artifacts. Moreover, we demonstrated chemical shift artifact-free multicolor detection of PFOB- and PFCE emulsion in a mouse.

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