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Journal of Southern Medical University ; (12): 245-250, 2016.
Article in Chinese | WPRIM | ID: wpr-273780

ABSTRACT

<p><b>OBJECTIVE</b>An improved water-fat separation method based on region-growing was proposed for use in regions with low signal-noise ratio (SNR).</p><p><b>METHODS</b>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.</p><p><b>RESULTS</b>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.</p><p><b>CONCLUSION</b>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.</p>


Subject(s)
Humans , Abdomen , Diagnostic Imaging , Adipose Tissue , Diagnostic Imaging , Algorithms , Body Water , Image Enhancement , Image Processing, Computer-Assisted , Knee , Diagnostic Imaging , Magnetic Resonance Imaging
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