Liu Biao-Shui, Zhang Jing, Cheng Jun-Ying, Hua Jia, Feng Yan-Qiu
School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China. E-mail:
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.
An improved water-fat separation method based on region-growing was proposed for use in regions with low signal-noise ratio (SNR).
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.
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.
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.
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。
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。
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。
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。
