Abstract #1543

Estimating tissue volume fractions and proton density in multi-component MRF

Martijn A. Nagtegaal¹, Laura Nunez Gonzalez², Dirk H.J. Poot², Matthias J.P. van Osch³, Jeroen H.J.M. de Bresser⁴, Juan A. Hernandez Tamames^1,2, and Frans M. Vos^1,2

¹Department of Imaging Physics, Delft University of Technology, Delft, Netherlands, ²Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands, ³C.J. Gorter Center for high field MRI, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, ⁴Department of Radiology, Leiden University Medical Center, Leiden, Netherlands

Accurate proton density estimations are required to obtain tissue volume fractions from multi-component MR Fingerprinting data. We propose a method for estimating relative proton densities per tissue while taking the receiver sensitivity profile into account. In 20 different numerical brain phantoms this shows to improve tissue segmentations compared to conventional methods that use $$$T_1$$$ weighted images. Estimated proton density values for single slice in vivo data (7 scans for 4 subjects) were in range with literature values in particular for white and gray matter.

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