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Proceedings Paper

Ultrasound speckle reduction using nonlinear Gaussian filters and nonlocal neighbourhoods
Author(s): Sindhu Ramachandran; Manoj G. Nair
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Paper Abstract

A new method for reducing the speckle in ultrasound images is introduced, which is an adaptation of Non Local Means filter by incorporating nonlinear Gaussian for identifying the similarity of patches and restoration of pixel value. By using this method, we are able to achieve speckle removal without using filter chains which was otherwise required for Non linear Gaussian filters for considerable noise removal. User interaction is facilitated for controlling the amount of noise removal and smoothing. The overall time required for computations is less and the accuracy and quality of the images is preserved. The algorithm has been tested on phantom data as well as in vivo data. The performance measure is evaluated based on standard evaluation parameters. On visually comparing the despeckled images, it can be found that the structure and edge information is preserved while suppressing the speckle. Experimental results prove that this method can be used for removing speckle in medical ultrasound images without compromising the accuracy and quality. There are two tunable parameters in this filter. They are for controlling the amount of noise removal and smoothing. This makes it possible for the user to adjust the amount of filtering. The filter can be easily extended to three dimensions there by facilitating 3D volume filtering. The filter can be easily implemented in GPU (Graphics Processing Units) which makes it possible to be used in real time particularly for volume rendering and visualization. It has been found that the proposed Non Local Non Linear Gaussian Filtering (NL-NLG) filter exhibits the properties of edge preservation, fine detail preservation as well as small structure preservation. At the same time it helps in the removal of speckle also. These properties of structure enhancement, together with speckle removal increase its diagnostic capability.

Paper Details

Date Published: 25 February 2012
PDF: 8 pages
Proc. SPIE 8320, Medical Imaging 2012: Ultrasonic Imaging, Tomography, and Therapy, 83201J (25 February 2012); doi: 10.1117/12.911798
Show Author Affiliations
Sindhu Ramachandran, Network Systems & Technologies (P) Ltd. (India)
Manoj G. Nair, Varkala Government Hospital (India)


Published in SPIE Proceedings Vol. 8320:
Medical Imaging 2012: Ultrasonic Imaging, Tomography, and Therapy
Johan G. Bosch; Marvin M. Doyley, Editor(s)

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