CT 剂量减少策略的创新：自适应统计迭代重建算法的应用。
Innovations in CT dose reduction strategy: application of the adaptive statistical iterative reconstruction algorithm.
机构信息
Department of Radiology, Mayo Clinic Arizona, 13400 E Shea Blvd., Scottsdale, AZ 85259, USA.
出版信息
AJR Am J Roentgenol. 2010 Jan;194(1):191-9. doi: 10.2214/AJR.09.2953.
PMID:20028923
Abstract
OBJECTIVE
The purpose of this article is to discuss the application of a new CT reconstruction algorithm, adaptive statistical iterative reconstruction (ASIR), to reduce radiation dose at body CT and to provide imaging examples in comparison with low-dose and standard-dose filtered back projection CT.
CONCLUSION
The ASIR reconstruction algorithm is a promising technique for providing diagnostic quality CT images at significantly reduced radiation doses.
摘要
目的
本文旨在探讨一种新的 CT 重建算法——自适应统计迭代重建（ASIR）在降低体部 CT 辐射剂量方面的应用，并与低剂量和标准剂量滤波反投影 CT 进行对比，提供成像实例。
结论
ASIR 重建算法是一种很有前途的技术，可以在显著降低辐射剂量的情况下提供诊断质量的 CT 图像。
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