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

0522218 - ÚPT 2020 RIV GB eng J - Journal Article
Kořínek, Radim - Gajdošík, M. - Trattnig, S. - Starčuk jr., Zenon - Krššák, M.
Low-level fat fraction quantification at 3 T: comparative study of different tools for water-fat reconstruction and MR spectroscopy.
Magnetic Resonance Materials in Physics, Biology and Medicine. -, JAN (2020), č. článku -. ISSN 0968-5243. E-ISSN 1352-8661
R&D Projects: GA MŠMT ED0017/01/01; GA MŠMT(CZ) LO1212; GA MŠMT(CZ) 8J18AT023
Grant - others:AV ČR(CZ) MSM100651801
Program: Program na podporu mezinárodní spolupráce začínajících výzkumných pracovníků
Institutional support: RVO:68081731
Keywords : low-level fat fraction * proton density fat fraction * quantification * MR imaging * MR spectroscopy
OECD category: Radiology, nuclear medicine and medical imaging
Impact factor: 2.310, year: 2020
Method of publishing: Open access
https://link.springer.com/content/pdf/10.1007%2Fs10334-020-00825-9.pdf

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, and in vivo . 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.
Permanent Link: http://hdl.handle.net/11104/0306715