评估重建和去噪算法对用减去微型计算机断层扫描(micro-CT)量化的碘浓度(CI)的准确性和精度的影响。评估了两种重建算法：滤波反向投影(FBP)算法和同时迭代重建技术(SIRT)算法。使用了三维双边滤波(BF)进行去噪。幻象研究评估并比较了图像质量以及四种情境下CI的准确性和精度，即滤波FBP、滤波SIRT、非滤波FBP和非滤波SIRT。在化学诱导的乳腺癌动物模型中进行了体内实验。幻象研究中所有情境中测得的CI值和名义值之间的关系均呈线性(R2>0.95)。与FBP相比，SIRT显著提高了CI的准确性和精度，具有较低的偏置(调整p值=0.0308)和重复性系数(调整p值<0.0001)。去噪仅在滤波SIRT图像中显著降低了偏差；对于重复性系数未发现显著差异。幻象和体内研究表明，CI是所有情境下可重复的成像参数(Pearson r>0.99，p值<0.001)。在幻象研究中，对比度噪声比在评估的情境中未发现显著差异；在体内研究中使用SIRT和BF算法时发现了显著改善。SIRT和BF算法相对于FBP和非滤波图像显著提高了CI的准确性和精度，鼓励在减去微型CT成像中使用它们。© 2023年。作者(们)。

To evaluate the effect of reconstruction and noise removal algorithms on the accuracy and precision of iodine concentration (CI) quantified with subtracted micro-computed tomography (micro-CT).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 CI 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.Linear relationships between the measured and nominal CI values were found for all the scenarios in the phantom study (R2 > 0.95). SIRT significantly improved the accuracy and precision of CI 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 CI 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.SIRT and BF algorithms improved the accuracy and precision of CI compared to FBP and non-filtered images, which encourages their use in subtracted micro-CT imaging.© 2023. The Author(s).