Department of Radiology, Technische Universität München, Klinikum rechts der Isar, Munich, Germany.
AJR Am J Roentgenol. 2011 Dec;197(6):1404-9. doi: 10.2214/AJR.11.6907.
The number of CT examinations is increasing relatively dramatically, hence the radiation dose of the associated population. Thus, there is a need for efficient reconstruction methods with dose reduction potential that also maintain the image quality. In this article, we present the initial performance evaluation of such a reconstruction algorithm (iDose, Philips Healthcare).
iDose is a hybrid iterative reconstruction algorithm that provides enhanced image quality while reducing the radiation dose compared with the current clinical standard reconstruction. To quantify the advantages of this algorithm in image quality and dose reduction, we compared iDose with the conventional filtered back projection algorithm. Furthermore, we describe the performance of iDose with respect to several image quality metrics.
The HU values remain stable while employing iDose. With iDose, the noise is significantly reduced. This is reflected by an improvement in the contrast-to-noise ratio and in the noise power spectrum compared with a standard reconstruction. The measurements of the modulation transfer function confirm that, with iDose, there is no decline in spatial resolution.
We conclude that iDose is an important tool in the reduction of radiation dose in CT. However, continuous efforts to reduce radiation dose should be pursued.
CT 检查的数量相对急剧增加，因此相关人群的辐射剂量也在增加。因此，需要开发具有降低剂量潜力且能保持图像质量的高效重建方法。本文介绍了一种这样的重建算法（iDose，飞利浦医疗保健公司）的初步性能评估。
iDose 是一种混合迭代重建算法，与当前临床标准重建相比，它能提高图像质量并降低辐射剂量。为了量化该算法在图像质量和剂量降低方面的优势，我们将 iDose 与常规滤波反投影算法进行了比较。此外，我们还描述了 iDose 在几个图像质量指标方面的性能。
使用 iDose 时，HU 值保持稳定。与标准重建相比，iDose 可显著降低噪声。这反映在对比噪声比和噪声功率谱的改善上。调制传递函数的测量结果证实，iDose 不会降低空间分辨率。
我们的结论是，iDose 是 CT 降低辐射剂量的重要工具。但是，应继续努力降低辐射剂量。
