Application of adaptive image processing technique to real-time spatial compound ultrasound imaging improves image quality.
- Meuwly JY Department of Diagnostic and Interventional Radiology, University Hospital, Lausanne, Switzerland. Jean-Yves.Meuwly@chuv.hospvd.ch
- Thiran JP
- Gudinchet F
- 2003-05-17
Published in:
- Investigative radiology. - 2003
Adolescent
Adult
Aged
Algorithms
Analysis of Variance
Child
Child, Preschool
Female
Humans
Image Enhancement
Image Processing, Computer-Assisted
Infant
Infant, Newborn
Male
Middle Aged
Prospective Studies
Statistics, Nonparametric
Ultrasonography
English
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.
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.
- Language
-
- English
- Open access status
- green
- Identifiers
-
- DOI 10.1097/01.RLI.0000057032.41715.14
- PMID 12750614
- Persistent URL
- https://sonar.ch/global/documents/242495
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