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首页> 外文期刊>Journal of computer assisted tomography >Adaptive statistical iterative reconstruction algorithm for measurement of vascular diameter on computed tomographic angiography in vitro
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Adaptive statistical iterative reconstruction algorithm for measurement of vascular diameter on computed tomographic angiography in vitro

机译：体外计算机断层血管造影测量血管直径的自适应统计迭代重建算法

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OBJECTIVES: To evaluate the accuracy of vascular diameter measurement on computed tomographic (CT) angiography using adaptive statistical iterative reconstruction (ASIR). METHODS: We scanned 9 vascular models with 3 wall thicknesses and filled with 3 densities of contrast material using a 64-detector CT unit, reconstructed images using ASIR (0%, 20%, 40%, 60%, 80%, and 100%), and repeated 20 separate diameter measurements for each model. We evaluated the distribution of image noise for the 0% and 100% ASIR. RESULTS: For all vascular models, measurement errors differed significantly (P < 0.0001) among the percentages of ASIR, tending to increase as the percentage of ASIR increased for models filled with 246 and 354 Hounsfield units of contrast medium. The degree of image noise depended on the substance within the model with 100% ASIR. CONCLUSIONS: Adaptive statistical iterative reconstruction can enhance errors in diameter measurement on CT angiography and should be applied carefully to evaluate small vessels.
机译：目的：使用自适应统计迭代重建（ASIR）评估在计算机断层扫描（CT）血管造影上进行血管直径测量的准确性。方法：我们扫描了9种血管模型，壁厚3厚，并使用64探测器CT装置填充了3密度的对比剂，并使用ASIR（0％，20％，40％，60％，80％和100％ ），并对每个模型重复进行20次单独的直径测量。我们评估了0％和100％ASIR的图像噪声分布。结果：在所有血管模型中，ASIR百分比之间的测量误差均存在显着差异（P <0.0001），并且在装有246和354 Hounsfield单位造影剂的模型中，测量误差会随着ASIR百分比的增加而增加。图像噪声的程度取决于具有100％ASIR的模型中的物质。结论：自适应统计迭代重建可增加CT血管造影直径测量的误差，应仔细评估小血管。

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