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Abstract #3801

Constraints in Estimating the Proton Density Fat Fraction

Mark Bydder1, Vahid K Ghodrati1, Yu Gao1, Matthew D Robson2, Yingli Yang1, and Peng Hu1
1UCLA, Los Angeles, CA, United States, 2Perspectum Diagnostics, Oxford, United Kingdom

The study evaluates four physically motivated constraints in the estimation of the proton density fat fraction (PDFF) based on the physics of magnetic resonance imaging. These were smooth fieldmap, smooth initial phase, nonnegative proton density and moderate $$$R2*$$$ values. Results show that constraints are effective at reducing standard deviation and bias.

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