Model-Free Spectral Fat Analysis Based on Ultra-Dense Echo Sampling Using a Singular Value Decomposition Matrix Pencil Method
Xeni Deligianni 1 and Oliver Bieri 1
Department of Radiology, Division of
Radiological Physics, University of Basel Hospital,
Basel, NA, Switzerland
Assessing tissue fat fraction and composition is of
increased clinical interest as a biomarker for various
muscle and liver diseases. Here, we propose a new method
to achieve an ultra-dense echo sampling in the tens of
microseconds regime within clinically feasible scan
times. This allows a model-free signal time course
analysis based on a singular value decomposition matrix
pencil method to resolve the spectral components of fat.
The effect of the echo spacing and the pre-set of signal
spectral components is analyzed. Four fat peaks are
being resolved and the results are in agreement with
literature. Reducing the preset signal components
results in an underestimation of the fat percentage.
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