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A two-point Dixon technique for water-fat separation using multiresolution and region-growing algorithm / 南方医科大学学报
Journal of Southern Medical University ; (12): 245-250, 2016.
Article Dans Chinois | 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>
Sujets)
Texte intégral: Disponible Indice: WPRIM (Pacifique occidental) Sujet Principal: Eau corporelle / Algorithmes / Traitement d&apos;image par ordinateur / Imagerie diagnostique / Imagerie par résonance magnétique / Amélioration d&apos;image / Tissu adipeux / Abdomen / Genou Type d'étude: Etude diagnostique / Étude pronostique Limites du sujet: Humains langue: Chinois Texte intégral: Journal of Southern Medical University Année: 2016 Type: Article

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Texte intégral: Disponible Indice: WPRIM (Pacifique occidental) Sujet Principal: Eau corporelle / Algorithmes / Traitement d&apos;image par ordinateur / Imagerie diagnostique / Imagerie par résonance magnétique / Amélioration d&apos;image / Tissu adipeux / Abdomen / Genou Type d'étude: Etude diagnostique / Étude pronostique Limites du sujet: Humains langue: Chinois Texte intégral: Journal of Southern Medical University Année: 2016 Type: Article