Robust speckle detection in ultrasound images: evaluation aspects

R. Martí; J. Martí; J. Freixenet; J. C. Vilanova; J. Barceló

doi:10.1117/12.736708

29 May 2007 Robust speckle detection in ultrasound images: evaluation aspects

R. Martí, J. Martí, J. Freixenet, J. C. Vilanova, J. Barceló

Proceedings Volume 6356, Eighth International Conference on Quality Control by Artificial Vision; 63560P (2007) https://doi.org/10.1117/12.736708
Event: Eighth International Conference on Quality Control by Artificial Vision, 2007, Le Creusot, France

Abstract

The characterisation and posterior detection of speckle noise in ultrasound (US) has been regarded as an important research topic in US imaging, mainly focusing on two specific applications: improving signal to noise ratio by removing speckle noise distribution and, secondly, detecting fully developed speckle patterns in order to perform a 3D reconstruction using only image content information from freehand sensorless images. The main novelty of this work is to show that speckle detection can be improved based on finding optimally discriminant low order speckle statistics. We describe a fully automatic method for speckle detection and propose and validate a framework to be efficiently applied to real B-scan data, not being published to date. Different experiments have been carried out in order to validate the speckle detection methodology using both real and simulated data.

Citation Download Citation

R. Martí, J. Martí, J. Freixenet, J. C. Vilanova, and J. Barceló "Robust speckle detection in ultrasound images: evaluation aspects", Proc. SPIE 6356, Eighth International Conference on Quality Control by Artificial Vision, 63560P (29 May 2007); https://doi.org/10.1117/12.736708

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