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Application of adaptive image processing technique to real-time spatial compound ultrasound imaging improves image
Jean-Yves Meuwly1, Jean-Philippe Thiran, François Gudinchet
1Department of Diagnostic and Interventional Radiology, University Hospital, Lausanne, Switzerland. Jean-Yves.Meuwly@chuv.hospvd.ch
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.