Abstract #2950

Chemical Shift Encoded (CSE) Image Reconstruction for Spectral Selection in Fluorine-19 MRI

Kai D. Ludwig¹, Diego Hernando^1,2, Nathan T. Roberts^2,3, Ruud B. van Heeswijk⁴, and Sean B. Fain^1,2,5

¹Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, ²Radiology, University of Wisconsin - Madison, Madison, WI, United States, ³Electrical and Computer Engineering, University of Wisconsin - Madison, Madison, WI, United States, ⁴Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, ⁵Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States

In preclinical applications, the high specificity of quantitative ¹⁹F MRI may be compromised by non-negligible signal contributions from fluorinated anesthetics (e.g. isoflurane). Here, we demonstrate the feasibility of chemical shift encoding (CSE) with multi-resonance fluorine signal modeling and least-squares estimation image reconstruction for ¹⁹F MRI. We optimize noise performance (NSA) and use a 3D spoiled gradient-echo acquisition to separate signal contributions from perfluoro-15-crown-5-ether (PFCE) and isoflurane. The method is tested in mixed PFCE/isoflurane phantoms showing effective signal separation. The CSE reconstruction removes isoflurane signal contributions in ¹⁹F MR images of PFCE in vivo, potentially reducing errors in ¹⁹F concentration quantification.

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