一种基于多分辨率和区域生长算法的两点 Dixon 水脂分离技术
[A two-point Dixon technique for water-fat separation using multiresolution and region-growing algorithm].
作者信息
Liu Biao-Shui, Zhang Jing, Cheng Jun-Ying, Hua Jia, Feng Yan-Qiu
机构信息
School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China. E-mail:
出版信息
Nan Fang Yi Ke Da Xue Xue Bao. 2016 Feb 20;37(2):245-250. doi: 10.3969/j.issn.1673-4254.2017.02.17.
OBJECTIVE
An improved water-fat separation method based on region-growing was proposed for use in regions with low signal-noise ratio (SNR).
METHODS
Region-growing method was applied to 4 sub-images acquired by a down- sampling operation on the acquired phasor maps. The spatial smoothing constraint was exploited to calculate 4 error phasor maps to construct the final smooth error phasor map, which was used in two-point Dixon technique for water-fat separation.
RESULTS
The simulation experiment showed that the proposed method produced smaller errors, and for clinical images of the knees, abdomen and lower limbs, the proposed method achieved accurate water-fat separations.
CONCLUSION
The proposed method is more robust and reliable than the original global region-growing algorithm, and serves as a promising water-fat separation method for clinical applications.
目的
提出一种基于区域生长的改进水脂分离方法，用于低信噪比（SNR）区域。
方法
将区域生长方法应用于通过对采集的相量图进行下采样操作获得的4个子图像。利用空间平滑约束计算4个误差相量图，以构建最终的平滑误差相量图，该图用于两点Dixon技术进行水脂分离。
结果
模拟实验表明，该方法产生的误差较小，对于膝盖、腹部和下肢的临床图像，该方法实现了准确的水脂分离。
结论
该方法比原始的全局区域生长算法更稳健、可靠，是一种有前途的临床应用水脂分离方法。
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