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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F20%3A00522218" target="_blank" >RIV/68081731:_____/20:00522218 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/content/pdf/10.1007%2Fs10334-020-00825-9.pdf" target="_blank" >https://link.springer.com/content/pdf/10.1007%2Fs10334-020-00825-9.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10334-020-00825-9" target="_blank" >10.1007/s10334-020-00825-9</a>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

30224 - Radiology, nuclear medicine and medical imaging

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Magnetic Resonance Materials in Physics, Biology and Medicine

ISSN

1352-8661

e-ISSN

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Volume of the periodical

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Issue of the periodical within the volume

JAN

Country of publishing house

GB - UNITED KINGDOM

Number of pages

14

Pages from-to

-

UT code for WoS article

000509140200001

EID of the result in the Scopus database

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