Literature DB >> 24621810

Assessment of hepatic fatty infiltration using dual-energy computed tomography: a phantom study.

Jung-Hui Li1, Chang-Yu Tsai, Hsuan-Ming Huang.   

Abstract

The purpose of this study was to examine the performance of dual-energy computed tomography (DECT) for the quantification of liver fat content (LFC). We prepared two phantoms: homogenized mixtures of porcine liver and fat and homogeneous mixtures of liver- and fat-equivalent solutions. Tubes containing mixtures with known fat concentrations were scanned on a dual-source CT scanner using two DE scanning protocols (80 kV/Sn140 kV and 100 kV/Sn140 kV). Attenuation curves obtained from DECT were used to describe attenuations of various degrees of LFC at different energies. LFC was calculated from DECT data and compared with the known LFC. The phantom made of liver/fat mixtures was not used for liver fat quantification because the increase of fat content did not show a decline of CT numbers. This may be due to inhomogeneity as observed in CT images. Attenuation curves obtained from two DE scanning protocols had the ability to discriminate small differences in fat concentrations. Our results also showed a strong correlation between DECT measurements and known LFC (R(2) > 0.99, P < 0.005). DECT will be a reliable tool for liver fat quantification. Furthermore, attenuation curves obtained from DECT data can be used for discriminating various degrees of LFC.

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Year:  2014        PMID: 24621810     DOI: 10.1088/0967-3334/35/4/597

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  6 in total

1.  The correlation between hepatic fat fraction evaluated by dual-energy computed tomography and high-risk coronary plaques in patients with non-alcoholic fatty liver disease.

Authors:  Rui Zhan; Rongxing Qi; Sheng Huang; Yang Lu; Xiaoyu Wang; Jiashen Jiang; Xiwu Ruan; Anyi Song
Journal:  Jpn J Radiol       Date:  2021-04-05       Impact factor: 2.374

2.  Simultaneous hepatic iron and fat quantification with dual-energy CT in a rabbit model of coexisting iron and fat.

Authors:  Yun Peng; Jing Ye; Chang Liu; Hongru Jia; Jun Sun; Jun Ling; Martin Prince; Chang Li; Xianfu Luo
Journal:  Quant Imaging Med Surg       Date:  2021-05

3.  Comparison of Multimaterial Decomposition Fat Fraction with DECT and Proton Density Fat Fraction with IDEAL IQ MRI for Quantification of Liver Steatosis in a Population Exposed to Chemotherapy.

Authors:  Giuseppe Corrias; Marco Erta; Marcello Sini; Claudia Sardu; Luca Saba; Usman Mahmood; Sandra Huicochea Castellanos; David Bates; Nicola Mondanelli; Brian Thomsen; Gabriella Carollo; Peter Sawan; Lorenzo Mannelli
Journal:  Dose Response       Date:  2021-04-20       Impact factor: 2.658

4.  Generation of Brain Dual-Energy CT from Single-Energy CT Using Deep Learning.

Authors:  Chi-Kuang Liu; Chih-Chieh Liu; Cheng-Hsun Yang; Hsuan-Ming Huang
Journal:  J Digit Imaging       Date:  2021-01-11       Impact factor: 4.056

5.  Influence of Radiation Dose and Reconstruction Kernel on Fat Fraction Analysis in Dual-energy CT: A Phantom Study.

Authors:  Vasiliki Chatzaraki; Corinna Born; Rahel A Kubik-Huch; Johannes M Froehlich; Michael J Thali; Tilo Niemann
Journal:  In Vivo       Date:  2021 Nov-Dec       Impact factor: 2.155

6.  Noise reduction in dual-energy computed tomography virtual monoenergetic imaging.

Authors:  Chi-Kuang Liu; Hsuan-Ming Huang
Journal:  J Appl Clin Med Phys       Date:  2019-08-07       Impact factor: 2.102

  6 in total

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