Accuracy and Precision of Iodine Quantification in Subtracted Micro-Computed Tomography: Effect of Reconstruction and Noise Removal Algorithms
MOLECULAR IMAGING AND BIOLOGY(2023)
摘要
Purpose To evaluate the effect of reconstruction and noise removal algorithms on the accuracy and precision of iodine concentration (C I ) quantified with subtracted micro-computed tomography (micro-CT). Procedures Two reconstruction algorithms were evaluated: a filtered backprojection (FBP) algorithm and a simultaneous iterative reconstruction technique (SIRT) algorithm. A 3D bilateral filter (BF) was used for noise removal. A phantom study evaluated and compared the image quality, and the accuracy and precision of C I in four scenarios: filtered FBP, filtered SIRT, non-filtered FBP, and non-filtered SIRT. In vivo experiments were performed in an animal model of chemically-induced mammary cancer. Results Linear relationships between the measured and nominal C I values were found for all the scenarios in the phantom study (R 2 > 0.95). SIRT significantly improved the accuracy and precision of C I compared to FBP, as given by their lower bias (adj. p-value = 0.0308) and repeatability coefficient (adj. p-value < 0.0001). Noise removal enabled a significant decrease in bias in filtered SIRT images only; non-significant differences were found for the repeatability coefficient. The phantom and in vivo studies showed that C I is a reproducible imaging parameter for all the scenarios (Pearson r > 0.99, p-value < 0.001). The contrast-to-noise ratio showed non-significant differences among the evaluated scenarios in the phantom study, while a significant improvement was found in the in vivo study when SIRT and BF algorithms were used. Conclusions SIRT and BF algorithms improved the accuracy and precision of C I compared to FBP and non-filtered images, which encourages their use in subtracted micro-CT imaging.
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关键词
Accuracy,Precision,Iodine concentration,Quantitative imaging,Micro-CT,Bilateral filter,Iterative reconstruction,SIRT
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