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

详细信息

Application Progress of Adaptive Statistical Iterative Reconstruction in Reducing Radiation Dose

1. CT Division, the People's Hospital of Yangxin County, Xinyang 435200, China;
2. Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China

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。
- 自适应统计迭代重建 /
- 辐射剂量 /
- 体层摄影术
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.
- adaptive statistical iterative reconstruction /
- radiation dose /
- tomography