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Proceedings Paper

Nonlinear multi-scale complex wavelet diffusion based speckle reduction approach for 3D ultrasound images
Author(s): Muhammad Shahin Uddin; Murat Tahtali; Andrew J. Lambert; Mark R. Pickering; Margaret Marchese; Iain Stuart
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Paper Abstract

3D ultrasound imaging has advantages as a non-invasive and a faster examination procedure capable of displaying volume information in real time. However, its resolution is affected by speckle noise. Speckle reduction and feature preservation are seemingly opposing goals. In this paper, a nonlinear multi-scale complex wavelet diffusion based algorithm for 3D ultrasound imaging is introduced. Speckle is suppressed and sharp edges are preserved by applying iterative multi-scale diffusion on the complex wavelet coefficients. The proposed method is validated using synthetic, real phantom, and clinical 3D images, and it is found to outperform other methods in both qualitative and quantitative measures.

Paper Details

Date Published: 23 September 2014
PDF: 6 pages
Proc. SPIE 9217, Applications of Digital Image Processing XXXVII, 92171A (23 September 2014); doi: 10.1117/12.2061891
Show Author Affiliations
Muhammad Shahin Uddin, Univ. of New South Wales (Australia)
Murat Tahtali, Univ. of New South Wales (Australia)
Andrew J. Lambert, Univ. of New South Wales (Australia)
Mark R. Pickering, Univ. of New South Wales (Australia)
Margaret Marchese, National Capital Diagnostic Imaging (Australia)
Iain Stuart, National Capital Diagnostic Imaging (Australia)

Published in SPIE Proceedings Vol. 9217:
Applications of Digital Image Processing XXXVII
Andrew G. Tescher, Editor(s)

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