Complex wavelet based speckle reduction using multiple ultrasound images

Muhammad Shahin Uddin; Murat Tahtali; Mark R. Pickering

doi:10.1117/12.2064409

16 April 2014 Complex wavelet based speckle reduction using multiple ultrasound images

Muhammad Shahin Uddin, Murat Tahtali, Mark R. Pickering

Proceedings Volume 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014); 91591I (2014) https://doi.org/10.1117/12.2064409
Event: Sixth International Conference on Digital Image Processing, 2014, Athens, Greece

Abstract

Ultrasound imaging is a dominant tool for diagnosis and evaluation in medical imaging systems. However, as its major limitation is that the images it produces suffer from low quality due to the presence of speckle noise, to provide better clinical diagnoses, reducing this noise is essential. The key purpose of a speckle reduction algorithm is to obtain a speckle-free high-quality image whilst preserving important anatomical features, such as sharp edges. As this can be better achieved using multiple ultrasound images rather than a single image, we introduce a complex wavelet-based algorithm for the speckle reduction and sharp edge preservation of two-dimensional (2D) ultrasound images using multiple ultrasound images. The proposed algorithm does not rely on straightforward averaging of multiple images but, rather, in each scale, overlapped wavelet detail coefficients are weighted using dynamic threshold values and then reconstructed by averaging. Validation of the proposed algorithm is carried out using simulated and real images with synthetic speckle noise and phantom data consisting of multiple ultrasound images, with the experimental results demonstrating that speckle noise is significantly reduced whilst sharp edges without discernible distortions are preserved. The proposed approach performs better both qualitatively and quantitatively than previous existing approaches.

Citation Download Citation

Muhammad Shahin Uddin, Murat Tahtali, and Mark R. Pickering "Complex wavelet based speckle reduction using multiple ultrasound images", Proc. SPIE 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014), 91591I (16 April 2014); https://doi.org/10.1117/12.2064409

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available