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Abstract #3753

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

Cristobal Arrieta1,2, Olivier Jaubert3, Gastao Cruz3, Sergio Uribe1,2,4, Rene M Botnar3, Claudia Prieto3, and Carlos Sing-Long2,5,6
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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