A two-point Dixon technique for water-fat separation using multiresolution and region-growing algorithm
10.3969/j.issn.1673-4254.2017.02.17
- VernacularTitle:基于多分辨率和区域增长的两点Dixon水脂分离技术
- Author:
Biaoshui LIU
1
;
Jing ZHANG
;
Junying CHENG
;
Jia HUA
;
Yanqiu FENG
Author Information
1. 南方医科大学生物医学工程学院
- Keywords:
magnetic resonance imaging;
water-fat separation;
phase correction;
Dixon technique;
region-growing
- From:
Journal of Southern Medical University
2017;37(2):245-250
- CountryChina
- Language:Chinese
-
Abstract:
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 downsampling 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 dinical 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.