Impact of iron deposit on the accuracy of quantifying liver fat fraction using multi‐material decomposition algorithm in dual‐energy spectral computed tomography
| Autor: | Hua Chen, Dandan Du, Bin Liu, Jinchuan Wang, Xingwang Wu, Jian Song |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Iron
Computed tomography Fraction (chemistry) multi‐material decomposition Spearman's rank correlation coefficient Imaging phantom Medical Imaging Bayesian multivariate linear regression Liver fat IDEAL‐IQ medicine Humans Radiology Nuclear Medicine and imaging iron deposit Instrumentation dual‐energy CT Radiation medicine.diagnostic_test Phantoms Imaging Chemistry Multi material Decomposition Liver Tomography X-Ray Computed fat quantification Algorithm Algorithms MRI |
| Zdroj: | Journal of Applied Clinical Medical Physics |
| ISSN: | 1526-9914 |
| DOI: | 10.1002/acm2.13368 |
| Popis: | Objectives To investigate the accuracy of using multi‐material decomposition (MMD) algorithm in dual‐energy spectral computed tomography (CT) for quantifying fat fraction (FF) in the presence of iron. Materials Nine tubes with various proportions of fat and iron were prepared. FF were divided into three levels (10%, 20%, and 30%), recorded as references (FFref). Iron concentrations (in mg/100 g) were divided into three ranges (25.25–25.97, 50.38–51.55 and 75.57–77.72). The nine‐tube phantom underwent dual‐energy CT and MR. CT attenuation was measured and FF were determined using MMD in CT (FFCT) and Iterative Decomposition of water and fat with Echo Asymmetry and Least squares estimation (IDEAL‐IQ) in MR (FFMR) for each tube. Statistical analyses used were: Spearman rank correlation for correlations between FFref and CT attenuation, FFCT, and FFMR; one‐way ANOVA, and one‐sample t‐test for the differences between FFCT and FFref and between FFMR and FFref. A multivariate linear regression model was established to analyze the differences between the corresponding values with different iron concentrations under the same FFref. Results Fat fraction on CT (FFCT) and FFMR were positively correlated with FFref (all p |
| Databáze: | OpenAIRE |
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