Author:
Zhao Yanjie,Peng Chengdong,Wang Shaofang,Liang Xinyue,Meng Xiaoyan
Abstract
Abstract
Object
To explore the feasibility and clinical application of AI -assisted compressed sensing (ACS) technology in kidney MR imaging.
Methods
33 patients were enrolled in this study, affiliated to our hospital from September 2020 to April 2021. The patients underwent T2-weighed sequences of both the ACS scan and the conventional respiratory navigator (NAVI) scan. We evaluated the subjective image quality scores, including the sharpness of image edge, artifact and the overall image quality, and compared the objective image quality indicators such as scanning time, signal-to-noise ratio (SNR), and contrast signal-to-noise ratio (CNR). The Wilcoxon’s rank sum test and the paired t test were used to compare the image quality between ACS and NAVI groups. The p-value less than 0.05 indicated a statistically significant difference.
Results
The edge sharpness of the ACS group was significant lower than that of the NAVI group (p < 0.01), however, there were no significant differences in the artifact and the overall rating of image quality between the two groups (p > 0.05). In terms of the objective image quality scores, the scanning time of the ACS group is significantly lower than that of control group. The SNR and CNR of ACS group were significantly higher than those of NAVI group (SNR:3.63 ± 0.76 vs 3.04 ± 0.44, p < 0.001; CNR: 14.44 ± 4.53 vs 12.05 ± 3.32, p < 0.001). In addition, the subjective and objective measurement results of the two radiologists were in good agreement (ICC = 0.61–0.88).
Conclusion
ACS technology has obvious advantages when applied to kidney MR imaging, which can realize ultra-fast MR imaging. The images can be acquired with a single breath-hold (17 s), which greatly shortens the scanning time. Moreover, the image quality is equal to or better than the conventional technology, which can meet the diagnostic requirements. Thus, it has obvious advantages in diagnosis for kidney disease patients with different tolerance levels for the clinical promotion.
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging
Reference13 articles.
1. Han S, Zhenhui L, Zhengyu J. Research progress of magnetic resonance imaging in diagnosis of kidney diseases radiologic. Practice. 2018;33(8):783–4.
2. Kozak BM, Jaimes C, Kirsch J, et al. MRI techniques to decrease imaging times in children. Radiographics. 2020;40(2):485–502.
3. Xiaobin G, Tengfei K, Yifan L, et al. Application of compressed sensing technology in tumor imaging. Radiol Pract. 2020;35(12):1635–8.
4. Haacke EM, Lindskogj ED, Lin W. A fast, iterative, partial-fourier technique capable of local phase recovery. J Magn Reson. 1991;92(1):126–45.
5. Huang F, Lin W, Li Y. Partial fourier reconstruction through data fitting and convolution in k-space. Magn Reson Med. 2009;62(5):1261–9.
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献