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Proceedings Paper

Ultrasound image filtering using the mutiplicative model
Author(s): Hugo Navarrete; Alejandro C. Frery; Fermin Sanchez; Joan Anto
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Paper Abstract

Ultrasound images, as a special case of coherent images, are normally corrupted with multiplicative noise i.e. speckle noise. Speckle noise reduction is a difficult task due to its multiplicative nature, but good statistical models of speckle formation are useful to design adaptive speckle reduction filters. In this article a new statistical model, emerging from the Multiplicative Model framework, is presented and compared to previous models (Rayleigh, Rice and K laws). It is shown that the proposed model gives the best performance when modeling the statistics of ultrasound images. Finally, the parameters of the model can be used to quantify the extent of speckle formation; this quantification is applied to adaptive speckle reduction filter design. The effectiveness of the filter is demonstrated on typical in-vivo log-compressed B-scan images obtained by a clinical ultrasound system.

Paper Details

Date Published: 11 April 2002
PDF: 9 pages
Proc. SPIE 4687, Medical Imaging 2002: Ultrasonic Imaging and Signal Processing, (11 April 2002); doi: 10.1117/12.462171
Show Author Affiliations
Hugo Navarrete, Univ. Politecnica de Catalunya (Spain)
Alejandro C. Frery, Univ. Federal de Pernambuco (Brazil)
Fermin Sanchez, Univ. Politecnica de Catalunya (Spain)
Joan Anto, Univ. Politecnica de Catalunya (Spain)


Published in SPIE Proceedings Vol. 4687:
Medical Imaging 2002: Ultrasonic Imaging and Signal Processing
Michael F. Insana; William F. Walker, Editor(s)

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