Abstract #2227
Systematic study of signal models for fat quantification at 3T using chemical shift imaging
Sonia Isabel Goncalves 1 , Mario Ribeiro 2 , Filipe Caseiro-Alves 3 , and Miguel Castelo-Branco 1
1
IBILI-Faculty of Medicine, University of
Coimbra, Coimbra, Coimbra, Portugal,
2
Faculty
of Sciences and Technology, University of Coimbra,
Coimbra, Portugal,
3
Faculty
of Medicine, University of Coimbra, Coimbra, Portugal
Liver fat fraction (FF) quantification is an important
tool that can help staging non-alcoholic fatty liver
disease. The gold-standard procedure for FF
quantification, is percutaneous biopsy, which is
expensive and prone to post-surgical complications.
Non-invasive alternatives include magnetic resonance
spectroscopy and chemical shift imaging (CSI) using
multi-echo gradient-echo (ME-GRE) pulse sequences. The
latter method is very appealing because data acquisition
is typically fast and well tolerated by patients.Models
based on the analysis of magnitude and complex data have
been used to separate water and fat components from
ME-GRE images and several studies have been dedicated to
advantages and disadvantages of each.Despite all the
advances, the fact remains that clinical applications of
FF quantification using CSI largely overlook these
aspects. In this paper, we provide a systematic analysis
of different signal models to quantify FF at 3T using
ME-GRE pulse sequences with twelve echoes, with a view
on optimizing the combination of echo times (TEs). We
furthermore study the influence of magnetic field
heterogeneities in the accuracy of the complex model for
FF estimation.
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