Abstract #1637

Novel water-fat separation model for multi-echo bipolar readout

Cristobal Arrieta^1,2, Carlos A Sing-Long^1,3,4, Esteban Denecken^1,2,5, Juan Pablo Meneses^1,2,5, Hernan Mella^2,6, Cristian Tejos^1,2,5, Marcelo E Andia^1,2,7, and Sergio Uribe^1,2,7

¹Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile, ²i-Health Millenium Institute in Intelligent Healthcare Engineering, Santiago, Chile, ³Institute for Mathematical and Computational Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile, ⁴Institute for Biological and Medical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile, ⁵Department of Electrical Engineering, School of Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile, ⁶School of Electrical Engineering, Pontificia Universidad Catolica de Valparaiso, Valparaiso, Chile, ⁷Radiology Department, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile

Synopsis

Keywords: Quantitative Imaging, FatThis work proposes a new model for solving the water-fat separation problem with bipolar acquisition, which allows us for reducing the acquisition time and computing accurate PDFF without any special concerns about phase corrections. We solve jointly two water-fat separation problems for even and odd echoes, under the assumption that the concentrations are different, but considering the same field map and $$$R_2^*$$$. Bland Altman plots and linear regression show excellent performance for PDFF estimation in 8 healthy volunteers.

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