Abstract #3753

Validation of a water and fat separation framework for Liver MR Fingerprinting

Cristobal Arrieta^1,2, Olivier Jaubert³, Gastao Cruz³, Sergio Uribe^1,2,4, Rene M Botnar³, Claudia Prieto³, and Carlos Sing-Long^2,5,6

¹Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile, ²Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile, ³School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom, ⁴Radiology Department, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile, ⁵Instituto de Ingeniería Matemática y Computacional, Pontificia Universidad Catolica de Chile, Santiago, Chile, ⁶Millennium Nucleus Center for the Discovery of Structures in Complex Data, Santiago, Chile

In this work we validated a liver MR Fingerprinting technique which allows to simultaneously estimate T1, T2, Proton Density Fat Fraction (PDFF) and T2*. This technique is based on a novel water and fat separation optimisation scheme, which includes l2-norm of the fieldmap gradient, TV regularisation on T2* and l1-norm denoising of the water and fat concentrations. We presented results on T1/T2 and water/fat phantoms and in 11 volunteers. This approach showed to be robust and it is ready to be applied on more clinical challenging cases.

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