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Proceedings Paper

Speckle suppression for 3-D ultrasound images using nonlinear multiscale wavelet diffusion
Author(s): Yong Yue; John W. Clark
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Paper 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.

Paper Details

Date Published: 12 March 2007
PDF: 9 pages
Proc. SPIE 6513, Medical Imaging 2007: Ultrasonic Imaging and Signal Processing, 65130Y (12 March 2007); doi: 10.1117/12.710055
Show Author Affiliations
Yong Yue, Rice Univ. (United States)
John W. Clark, Rice Univ. (United States)

Published in SPIE Proceedings Vol. 6513:
Medical Imaging 2007: Ultrasonic Imaging and Signal Processing
Stanislav Y. Emelianov; Stephen A. McAleavey, Editor(s)

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