期刊文献+

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 被引量:10

Application Progress of Adaptive Statistical Iterative Reconstruction in Reducing Radiation Dose
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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。 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.
作者 方林 李亮
出处 《CT理论与应用研究(中英文)》 2013年第2期207-213,共7页 Computerized Tomography Theory and Applications
关键词 自适应统计迭代重建 辐射剂量 体层摄影术 adaptive statistical iterative reconstruction radiation dose tomography
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参考文献30

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二级参考文献16

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