Abstract #2416

Effects of Denoising in the Estimation of T2* from Images Acquired Through Dixon Imaging

Rodrigo Moreno¹, Thobias Romu², Olof Dahlqvist Leinhard¹, Magnus Borga², Ebo de Muinck¹

¹Department of Medical and Health Sciences, Linkping University, Linkping, stergtland, Sweden; ²Department of Biomedical Engineering, Linkping University, Linkping, stergtland, Sweden

This abstract explores the effect of prefiltering in the estimation of T2* from images acquired through symmetric Dixon imaging. Non-stationary Gaussian noise is removed from 8-point Dixon images acquired from the abdomen. T2* is computed by curve fitting of the in-phase images and the improvement of the estimation is computed through R2. The mean of R2 in is improved with the filtering from 0.73 to 0.75, from 0.84 to 0.89 and from 0.84 to 0.93 for fat- and water-dominant regions and ROIs in the liver respectively. Results suggest that advanced signal model fitting is only necessary in the fat-dominant regions.