Open AccessQuantification of Hepatic Fat Fraction in Patients With Nonalcoholic Fatty Liver Disease: Comparison of Multimaterial Decomposition Algorithm and Fat (Water)-Based Material Decomposition Algorithm Using Single-Source Dual-Energy Computed Tomography
Author(s) -
Qinhe Zhang,
Ying Zhao,
Jingjun Wu,
Luhan Xie,
Anliang Chen,
Yijun Liu,
Qingwei Song,
Jianying Li,
Tingfan Wu,
Lizhi Xie,
Ailian Liu
Publication year - 2020
Publication title -
journal of computer assisted tomography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.53
H-Index - 93
eISSN - 1532-3145
pISSN - 0363-8715
DOI - 10.1097/rct.0000000000001112
Subject(s) - medicine , nonalcoholic fatty liver disease , magnetic resonance imaging , tomography , fatty liver , algorithm , nuclear medicine , radiology , disease , mathematics
Hepatic fat fractions were quantified by noncontrast (HFFnon-CE) and contrast-enhanced single-source dual-energy computed tomography in arterial phase (HFFAP), portal venous phase (HFFPVP) and equilibrium phase (HFFEP) using MMD in 19 nonalcoholic fatty liver disease patients. The fat concentration was measured on fat (water)-based images. As the standard of reference, magnetic resonance iterative decomposition of water and fat with echo asymmetry and least-squares estimation-iron quantification images were reconstructed to obtain HFF (HFFIDEAL-IQ).