AI Article Synopsis
- Elastography is a medical imaging technique that reveals tissue stiffness but faces challenges from noise caused by decorrelation and amplitude modulation errors.
- A new fast bilateral filter based on local histogram is introduced to reduce this noise while preserving the tissue structure.
- Tests show that this method enhances the quality of elastography by improving the signal-to-noise ratio and contrast-to-noise ratio for better imaging results.
Article Abstract
Elastography in medical ultrasound is an imaging technique that displays information about tissue stiffness. However, elastography suffers from artefact noise that may come from two dominant sources: decorrelation error and amplitude modulation error. In order to reduce artefact and improve the quality of ultrasonic elastography, a fast bilateral filter is proposed in this study based on local histogram. The presented filter is derived from a conventional bilateral filter, and a local histogram is introduced to speed up the filter. The proposed algorithm can reduce artefact noise and, at the same time, maintain the tissue structure. Both simulation and phantom testing show that the proposed method can improve the quality of ultrasonic elastography in terms of tissue elastographic signal-to-noise ratio and elastographic contrast-to-noise ratio values.
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| http://dx.doi.org/10.1080/10255842.2013.803080 | DOI Listing |
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