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Magnetic Resonance Materials in Physics, Biology and Medicine

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01-08-2020 | Magnetic Resonance Imaging | Research Article

Low-level fat fraction quantification at 3 T: comparative study of different tools for water–fat reconstruction and MR spectroscopy

Authors: Radim Kořínek, Martin Gajdošík, Siegfried Trattnig, Zenon Starčuk Jr., Martin Krššák

Published in: Magnetic Resonance Materials in Physics, Biology and Medicine | Issue 4/2020

Abstract

Objectives

Chemical Shift Encoded Magnetic Resonance Imaging (CSE-MRI)-based quantification of low-level (< 5% of proton density fat fraction—PDFF) fat infiltration requires highly accurate data reconstruction for the assessment of hepatic or pancreatic fat accumulation in diagnostics and biomedical research.

Materials and methods

We compare three software tools available for water/fat image reconstruction and PDFF quantification with MRS as the reference method. Based on the algorithm exploited in the tested software, the accuracy of fat fraction quantification varies. We evaluate them in phantom and in vivo MRS and MRI measurements.

Results

The signal model of Intralipid 20% emulsion used for phantoms was established for 3 T and 9.4 T fields. In all cases, we noticed a high coefficient of determination (R-squared) between MRS and MRI–PDFF measurements: in phantoms <0.9924–0.9990>; and in vivo <0.8069–0.9552>. Bland–Altman analysis was applied to phantom and in vivo measurements.

Discussion

Multi-echo MRI in combination with an advanced algorithm including multi-peak spectrum modeling appears as a valuable and accurate method for low-level PDFF quantification over large FOV in high resolution, and is much faster than MRS methods. The graph-cut algorithm (GC) showed the fewest water/fat swaps in the PDFF maps, and hence stands out as the most robust method of those tested.

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Title: Low-level fat fraction quantification at 3 T: comparative study of different tools for water–fat reconstruction and MR spectroscopy
Authors: Radim Kořínek
Martin Gajdošík
Siegfried Trattnig
Zenon Starčuk Jr.
Martin Krššák
Publication date: 01-08-2020
Publisher: Springer International Publishing
Keywords: Magnetic Resonance Imaging
Magnetic Resonance Imaging
Published in: Magnetic Resonance Materials in Physics, Biology and Medicine / Issue 4/2020
Print ISSN: 0968-5243
Electronic ISSN: 1352-8661
DOI: https://doi.org/10.1007/s10334-020-00825-9

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Low-level fat fraction quantification at 3 T: comparative study of different tools for water–fat reconstruction and MR spectroscopy

Abstract

Objectives

Materials and methods

Results

Discussion

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Objectives

Materials and methods

Results

Discussion

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