Speckle reduction in echocardiography by temporal compounding and anisotropic diffusion filtering

Jader Giraldo-Guzmán; Oscar Porto-Solano; Alberto Cadena-Bonfanti; Sonia H. Contreras-Ortiz

doi:10.1117/12.2070634

28 January 2015 Speckle reduction in echocardiography by temporal compounding and anisotropic diffusion filtering

Jader Giraldo-Guzmán, Oscar Porto-Solano, Alberto Cadena-Bonfanti, Sonia H. Contreras-Ortiz

Proceedings Volume 9287, 10th International Symposium on Medical Information Processing and Analysis; 92871F (2015) https://doi.org/10.1117/12.2070634
Event: Tenth International Symposium on Medical Information Processing and Analysis, 2014, Cartagena de Indias, Colombia

Abstract

Echocardiography is a medical imaging technique based on ultrasound signals that is used to evaluate heart anatomy and physiology. Echocardiographic images are affected by speckle, a type of multiplicative noise that obscures details of the structures, and reduces the overall image quality. This paper shows an approach to enhance echocardiography using two processing techniques: temporal compounding and anisotropic diffusion filtering. We used twenty echocardiographic videos that include one or three cardiac cycles to test the algorithms. Two images from each cycle were aligned in space and averaged to obtain the compound images. These images were then processed using anisotropic diffusion filters to further improve their quality. Resultant images were evaluated using quality metrics and visual assessment by two medical doctors. The average total improvement on signal-to-noise ratio was up to 100.29% for videos with three cycles, and up to 32.57% for videos with one cycle.

Citation Download Citation

Jader Giraldo-Guzmán, Oscar Porto-Solano, Alberto Cadena-Bonfanti, and Sonia H. Contreras-Ortiz "Speckle reduction in echocardiography by temporal compounding and anisotropic diffusion filtering ", Proc. SPIE 9287, 10th International Symposium on Medical Information Processing and Analysis, 92871F (28 January 2015); https://doi.org/10.1117/12.2070634

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