A two-point Dixon technique for water-fat separation using multiresolution and region-growing algorithm.
- Author:
Biao-Shui LIU
1
;
Jing ZHANG
;
Jun-Ying CHENG
;
Jia HUA
;
Yan-Qiu FENG
Author Information
- Publication Type:Journal Article
- MeSH: Abdomen; diagnostic imaging; Adipose Tissue; diagnostic imaging; Algorithms; Body Water; Humans; Image Enhancement; Image Processing, Computer-Assisted; Knee; diagnostic imaging; Magnetic Resonance Imaging
- From: Journal of Southern Medical University 2016;37(2):245-250
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVEAn improved water-fat separation method based on region-growing was proposed for use in regions with low signal-noise ratio (SNR).
METHODSRegion-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.
RESULTSThe 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.
CONCLUSIONThe 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.