Number of the records: 1  

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

  1. 1.
    SYSNO ASEP0522218
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleLow-level fat fraction quantification at 3 T: comparative study of different tools for water-fat reconstruction and MR spectroscopy
    Author(s) Kořínek, Radim (UPT-D) RID, ORCID, SAI
    Gajdošík, M. (AT)
    Trattnig, S. (AT)
    Starčuk jr., Zenon (UPT-D) RID, ORCID, SAI
    Krššák, M. (AT)
    Number of authors5
    Article number-
    Source TitleMagnetic Resonance Materials in Physics, Biology and Medicine. - : Springer - ISSN 0968-5243
    -, JAN (2020)
    Number of pages14 s.
    Publication formOnline - E
    Languageeng - English
    CountryGB - United Kingdom
    Keywordslow-level fat fraction ; proton density fat fraction ; quantification ; MR imaging ; MR spectroscopy
    Subject RIVBH - Optics, Masers, Lasers
    OECD categoryRadiology, nuclear medicine and medical imaging
    R&D ProjectsED0017/01/01 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    LO1212 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    8J18AT023 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    Method of publishingOpen access
    Institutional supportUPT-D - RVO:68081731
    UT WOS000509140200001
    DOI10.1007/s10334-020-00825-9
    AnnotationObjectives 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.
    WorkplaceInstitute of Scientific Instruments
    ContactMartina Šillerová, sillerova@ISIBrno.Cz, Tel.: 541 514 178
    Year of Publishing2020
    Electronic addresshttps://link.springer.com/content/pdf/10.1007%2Fs10334-020-00825-9.pdf
Number of the records: 1  

  This site uses cookies to make them easier to browse. Learn more about how we use cookies.