Cover Image

Comparison of vendor-independent software tools for liver proton density fat fraction estimation at 1.5 T

(1) Background: Open-source software tools are available to estimate proton density fat fraction (PDFF). (2) Methods: We compared four algorithms: complex-based with graph cut (GC), magnitude-based (MAG), magnitude-only estimation with Rician noise modeling (MAG-R), and multi-scale quadratic pseudo-...

Full description

Saved in:
Bibliographic Details
Main Authors: Zsombor, Zita (Author) , Zsély, Boglárka (Author) , Rónaszéki, Aladár D. (Author) , Stollmayer, Róbert (Author) , Budai, Bettina K. (Author) , Palotás, Lőrinc (Author) , Bérczi, Viktor (Author) , Kalina, Ildikó (Author) , Maurovich Horvat, Pál (Author) , Kaposi, Pál Novák (Author)
Format: Article (Journal)
Language:English
Published: 30 May 2024
In: Diagnostics
Year: 2024, Volume: 14, Issue: 11, Pages: 1-15
ISSN:2075-4418
DOI:10.3390/diagnostics14111138
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.3390/diagnostics14111138
Verlag, kostenfrei, Volltext: https://www.mdpi.com/2075-4418/14/11/1138
Get full text
Author Notes:Zita Zsombor, Boglárka Zsély, Aladár D. Rónaszéki, Róbert Stollmayer, Bettina K. Budai, Lőrinc Palotás, Viktor Bérczi, Ildikó Kalina, Pál Maurovich Horvat and Pál Novák Kaposi

MARC

LEADER 00000caa a2200000 c 4500
001 1908871237
003 DE-627
005 20241205221206.0
007 cr uuu---uuuuu
008 241118s2024 xx |||||o 00| ||eng c
024 7 |a 10.3390/diagnostics14111138  |2 doi 
035 |a (DE-627)1908871237 
035 |a (DE-599)KXP1908871237 
035 |a (OCoLC)1475647623 
040 |a DE-627  |b ger  |c DE-627  |e rda 
041 |a eng 
084 |a 33  |2 sdnb 
100 1 |a Zsombor, Zita  |e VerfasserIn  |0 (DE-588)1348633735  |0 (DE-627)1908871849  |4 aut 
245 1 0 |a Comparison of vendor-independent software tools for liver proton density fat fraction estimation at 1.5 T  |c Zita Zsombor, Boglárka Zsély, Aladár D. Rónaszéki, Róbert Stollmayer, Bettina K. Budai, Lőrinc Palotás, Viktor Bérczi, Ildikó Kalina, Pál Maurovich Horvat and Pál Novák Kaposi 
264 1 |c 30 May 2024 
300 |b Illustrationen 
300 |a 15 
336 |a Text  |b txt  |2 rdacontent 
337 |a Computermedien  |b c  |2 rdamedia 
338 |a Online-Ressource  |b cr  |2 rdacarrier 
500 |a Gesehen am 18.11.2024 
520 |a (1) Background: Open-source software tools are available to estimate proton density fat fraction (PDFF). (2) Methods: We compared four algorithms: complex-based with graph cut (GC), magnitude-based (MAG), magnitude-only estimation with Rician noise modeling (MAG-R), and multi-scale quadratic pseudo-Boolean optimization with graph cut (QPBO). The accuracy and reliability of the methods were evaluated in phantoms with known fat/water ratios and a patient cohort with various grades (S0-S3) of steatosis. Image acquisitions were performed at 1.5 Tesla (T). (3) Results: The PDFF estimates showed a nearly perfect correlation (Pearson r = 0.999, p < 0.001) and inter-rater agreement (ICC = from 0.995 to 0.999, p < 0.001) with true fat fractions. The absolute bias was low with all methods (0.001-1%), and an ANCOVA detected no significant difference between the algorithms in vitro. The agreement across the methods was very good in the patient cohort (ICC = 0.891, p < 0.001). However, MAG estimates (−2.30% ± 6.11%, p = 0.005) were lower than MAG-R. The field inhomogeneity artifacts were most frequent in MAG-R (70%) and GC (39%) and absent in QPBO images. (4) Conclusions: The tested algorithms all accurately estimate PDFF in vitro. Meanwhile, QPBO is the least affected by field inhomogeneity artifacts in vivo. 
650 4 |a chemical-shift-encoded MRI (CSE-MRI) 
650 4 |a metabolic-associated steatotic liver disease (MASLD) 
650 4 |a open-source software 
650 4 |a phantom 
650 4 |a proton density fat fraction (PDFF) 
650 4 |a quantitative imaging biomarker 
700 1 |a Zsély, Boglárka  |e VerfasserIn  |4 aut 
700 1 |a Rónaszéki, Aladár D.  |e VerfasserIn  |4 aut 
700 1 |a Stollmayer, Róbert  |e VerfasserIn  |0 (DE-588)1345106033  |0 (DE-627)1905866100  |4 aut 
700 1 |a Budai, Bettina K.  |e VerfasserIn  |4 aut 
700 1 |a Palotás, Lőrinc  |e VerfasserIn  |4 aut 
700 1 |a Bérczi, Viktor  |e VerfasserIn  |4 aut 
700 1 |a Kalina, Ildikó  |e VerfasserIn  |4 aut 
700 1 |a Maurovich Horvat, Pál  |e VerfasserIn  |4 aut 
700 1 |a Kaposi, Pál Novák  |e VerfasserIn  |4 aut 
773 0 8 |i Enthalten in  |t Diagnostics  |d Basel : MDPI, 2011  |g 14(2024), 11, Artikel-ID 1138, Seite 1-15  |h Online-Ressource  |w (DE-627)718627814  |w (DE-600)2662336-5  |w (DE-576)365413917  |x 2075-4418  |7 nnas  |a Comparison of vendor-independent software tools for liver proton density fat fraction estimation at 1.5 T 
773 1 8 |g volume:14  |g year:2024  |g number:11  |g elocationid:1138  |g pages:1-15  |g extent:15  |a Comparison of vendor-independent software tools for liver proton density fat fraction estimation at 1.5 T 
856 4 0 |u https://doi.org/10.3390/diagnostics14111138  |x Verlag  |x Resolving-System  |z kostenfrei  |3 Volltext 
856 4 0 |u https://www.mdpi.com/2075-4418/14/11/1138  |x Verlag  |z kostenfrei  |3 Volltext 
951 |a AR 
992 |a 20241118 
993 |a Article 
994 |a 2024 
998 |g 1345106033  |a Stollmayer, Róbert  |m 1345106033:Stollmayer, Róbert  |d 910000  |d 911400  |e 910000PS1345106033  |e 911400PS1345106033  |k 0/910000/  |k 1/910000/911400/  |p 4 
999 |a KXP-PPN1908871237  |e 4616074127 
BIB |a Y 
SER |a journal 
JSO |a {"physDesc":[{"noteIll":"Illustrationen","extent":"15 S."}],"relHost":[{"pubHistory":["1.2011 -"],"part":{"year":"2024","issue":"11","pages":"1-15","volume":"14","text":"14(2024), 11, Artikel-ID 1138, Seite 1-15","extent":"15"},"type":{"bibl":"periodical","media":"Online-Ressource"},"disp":"Comparison of vendor-independent software tools for liver proton density fat fraction estimation at 1.5 TDiagnostics","note":["Gesehen am 28.05.2020"],"language":["eng"],"recId":"718627814","title":[{"title":"Diagnostics","subtitle":"open access journal","title_sort":"Diagnostics"}],"physDesc":[{"extent":"Online-Ressource"}],"origin":[{"publisherPlace":"Basel","dateIssuedDisp":"2011-","dateIssuedKey":"2011","publisher":"MDPI"}],"id":{"eki":["718627814"],"zdb":["2662336-5"],"issn":["2075-4418"]}}],"name":{"displayForm":["Zita Zsombor, Boglárka Zsély, Aladár D. Rónaszéki, Róbert Stollmayer, Bettina K. Budai, Lőrinc Palotás, Viktor Bérczi, Ildikó Kalina, Pál Maurovich Horvat and Pál Novák Kaposi"]},"origin":[{"dateIssuedDisp":"30 May 2024","dateIssuedKey":"2024"}],"id":{"eki":["1908871237"],"doi":["10.3390/diagnostics14111138"]},"note":["Gesehen am 18.11.2024"],"type":{"media":"Online-Ressource","bibl":"article-journal"},"language":["eng"],"recId":"1908871237","person":[{"given":"Zita","family":"Zsombor","role":"aut","roleDisplay":"VerfasserIn","display":"Zsombor, Zita"},{"role":"aut","display":"Zsély, Boglárka","roleDisplay":"VerfasserIn","given":"Boglárka","family":"Zsély"},{"role":"aut","display":"Rónaszéki, Aladár D.","roleDisplay":"VerfasserIn","given":"Aladár D.","family":"Rónaszéki"},{"family":"Stollmayer","given":"Róbert","roleDisplay":"VerfasserIn","display":"Stollmayer, Róbert","role":"aut"},{"family":"Budai","given":"Bettina K.","roleDisplay":"VerfasserIn","display":"Budai, Bettina K.","role":"aut"},{"display":"Palotás, Lőrinc","roleDisplay":"VerfasserIn","role":"aut","family":"Palotás","given":"Lőrinc"},{"roleDisplay":"VerfasserIn","display":"Bérczi, Viktor","role":"aut","family":"Bérczi","given":"Viktor"},{"family":"Kalina","given":"Ildikó","display":"Kalina, Ildikó","roleDisplay":"VerfasserIn","role":"aut"},{"family":"Maurovich Horvat","given":"Pál","display":"Maurovich Horvat, Pál","roleDisplay":"VerfasserIn","role":"aut"},{"given":"Pál Novák","family":"Kaposi","role":"aut","roleDisplay":"VerfasserIn","display":"Kaposi, Pál Novák"}],"title":[{"title_sort":"Comparison of vendor-independent software tools for liver proton density fat fraction estimation at 1.5 T","title":"Comparison of vendor-independent software tools for liver proton density fat fraction estimation at 1.5 T"}]} 
SRT |a ZSOMBORZITCOMPARISON3020 

Similar Items