Paper
12 March 2007 Speckle suppression for 3D ultrasound images using nonlinear multiscale wavelet diffusion
Yong Yue, John W. Clark Jr.
Author Affiliations +
Abstract
We introduce a new speckle suppression approach for 3-D ultrasound images. The proposed method seeks to enhance volume visualization of 3-D ultrasound images, and improve the accuracy of volume determination. Extended from 2-D nonlinear multiscale wavelet diffusion, the proposed method is developed on the basis of an integration of the 3-D nonlinear diffusion and 3-D dyadic wavelet transform techniques. Our approach uses the normalized wavelet modulus as an edge map to expose the intrinsic speckle/edge relation. Relying on the statistical analysis of this edge map, the method is able to classify homogenous speckle regions and edges in a 3-D volume, as well as provide strong speckle suppression and boundary preservation. Our method is validated using both synthetic and real 3-D ultrasonic images. Performance improvement over other filters is quantified by evaluating standard quality indices.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yong Yue and John W. Clark Jr. "Speckle suppression for 3D ultrasound images using nonlinear multiscale wavelet diffusion", Proc. SPIE 6513, Medical Imaging 2007: Ultrasonic Imaging and Signal Processing, 65130Y (12 March 2007); https://doi.org/10.1117/12.710055
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
3D image processing

Speckle

Ultrasonography

Wavelets

Diffusion

3D modeling

Image filtering

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