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Application of adaptive image processing technique to real-time spatial compound ultrasound imaging improves image quality.

By J.Y. Meuwly, J.P. Thiran and F. Gudinchet

Abstract

RATIONALE AND OBJECTIVES: To assess the impact of adaptive filter postprocessing on quality of ultrasound images. METHODS: Ultrasound images acquired with real-time spatial compound imaging (SonoCT imaging) were subsequently processed with an adaptive real time algorithm (XRES imaging). Conventional and XRES-processed images from abdominal, pediatric or small parts ultrasound explorations were compared. The delineation of borders, tissue contrast, amount of noise, and overall image quality were evaluated. RESULTS: Delineation of borders and tissue contrast were improved on all images (P < 0.05). The amount of noise was reduced (P < 0.05). The overall image quality was improved for abdominal, pediatric and small parts ultrasound explorations (P < 0.05). No image degradation was found. CONCLUSIONS: Adaptive processing provided better image quality without loss of clinically useful information

Topics: Adolescent; Adult; Aged; Algorithms; Analysis of Variance; Child; Child, Preschool; Female; Humans; Image Enhancement/methods; Image Processing, Computer-Assisted/methods; Infant; Infant, Newborn; Male; Middle Aged; Prospective Studies; Statistics, Nonparametric; Ultrasonography/methods
Year: 2003
DOI identifier: 10.1097/01.RLI.0000057032.41715.14
OAI identifier: oai:serval.unil.ch:BIB_1F572C96A236
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