ISSN 1004-4140
CN 11-3017/P
方林, 李亮. 自适应统计迭代重建技术在降低CT辐射剂量中的应用进展[J]. CT理论与应用研究, 2013, 22(2): 207-213.
引用本文: 方林, 李亮. 自适应统计迭代重建技术在降低CT辐射剂量中的应用进展[J]. CT理论与应用研究, 2013, 22(2): 207-213.
FANG Lin, LI Liang. Application Progress of Adaptive Statistical Iterative Reconstruction in Reducing Radiation Dose[J]. CT Theory and Applications, 2013, 22(2): 207-213.
Citation: FANG Lin, LI Liang. Application Progress of Adaptive Statistical Iterative Reconstruction in Reducing Radiation Dose[J]. CT Theory and Applications, 2013, 22(2): 207-213.

自适应统计迭代重建技术在降低CT辐射剂量中的应用进展

Application Progress of Adaptive Statistical Iterative Reconstruction in Reducing Radiation Dose

  • 摘要: 作为一种全新的CT重建算法,自适应统计迭代重建技术(ASIR),不仅可以大幅减少CT辐射剂量,而且与传统的滤过反投影技术相比,具有更加明显的优势。由于它降低辐射剂量且能保持较好的图像质量,在临床上的广泛应用具有很好的前景。本文对ASIR技术的临床应用及发展趋势进行了综述。

     

    Abstract: As a new CT reconstruction algorithm,adaptive statistical iterative reconstruction(ASIR),could not only reduce radiation dose at body CT,but also provide imaging examples in comparison with low-dose and standard-dose filtered back projection CT.The ASIR reconstruction algorithm is a promising technique for providing diagnostic quality CT images at significantly reduced radiation doses.The development and application of ASIR were reviewed in this article.

     

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