11 April 2002 Ultrasound image filtering using the mutiplicative model
Author Affiliations +
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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hugo Navarrete, Alejandro C. Frery, Fermin Sanchez, Joan Anto, "Ultrasound image filtering using the mutiplicative model", Proc. SPIE 4687, Medical Imaging 2002: Ultrasonic Imaging and Signal Processing, (11 April 2002); doi: 10.1117/12.462171; https://doi.org/10.1117/12.462171
PROCEEDINGS
9 PAGES


SHARE
RELATED CONTENT

Effect of denoising on assimilation of SAR data
Proceedings of SPIE (October 16 2013)
Escaping path approach for speckle noise reduction
Proceedings of SPIE (February 14 2015)
State reduction of recursive median filters
Proceedings of SPIE (March 05 1999)
Directional multiscale statistical modeling of images
Proceedings of SPIE (November 13 2003)

Back to Top