Paper
3 January 2020 Speckle noise reduction in echocardiography using a bank of filters based on oriented structuring elements
Author Affiliations +
Proceedings Volume 11330, 15th International Symposium on Medical Information Processing and Analysis; 1133005 (2020) https://doi.org/10.1117/12.2546588
Event: 15th International Symposium on Medical Information Processing and Analysis, 2019, Medelin, Colombia
Abstract
Speckle noise filtering has been investigated since at least fifty years, this multiplicative and granular interference may be found in any image, i.e, Synthetic Aperture Radar (SAR), optical coherence tomography, and of course, medical ultrasound imaging. Speckle noise is produced by structural characteristics of materials, in case of the ultrasound imaging case, by small structural irregularities. This work proposes a novel speckle noise filtering strategy using a bank of morphological multi-scale filters that captures anisotropic information and additionally preserves cardiac structures. This method is compared against commonly used filters, namely: Anisotropic Diffusion Filter (ADMSS), Non-Local Means Filter (NLMF) and Detail Preserving Anisotropic Diffusion Filter (DPAD).
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jorge Daniel Jara-Hurtado, Álvaro Andrés Sandino, Angélica Atehortúa, Carlos Alberto Ortíz Dávila, and Eduardo Romero "Speckle noise reduction in echocardiography using a bank of filters based on oriented structuring elements", Proc. SPIE 11330, 15th International Symposium on Medical Information Processing and Analysis, 1133005 (3 January 2020); https://doi.org/10.1117/12.2546588
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KEYWORDS
Speckle

Anisotropic filtering

Denoising

Echocardiography

Anisotropic diffusion

Image filtering

Synthetic aperture radar

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