Speckle-Constrained Filtering of Ultrasound Images

Authors:
Karl Krissian;Ron Kikinis;Carl-Fredrik Westin;Kirby Vosburgh
Affiliations:
Harvard Medical School;Harvard Medical School;Harvard Medical School;CIMIT
Venue:
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Year:
2005

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Abstract

Ultrasound images provide the clinician with non-invasive, low cost, and real-time images that can help them in diagnosis, plannnig and therapy. However, although the human eye is able to derive the meaningful information from these images, automatic processing is very difficult because of the noise and artefacts present in the image. In this work, we propose to extend the current anisotropic diffusion technique to deal with the speckle noise present in the Ultra-sound images. To this end, we use a previously derived model of the noise, and we write the restoration scheme as a energy minization constrained by the noise model and parameters. This approach leads to a new data attachment term whose optimal weight can be automatically estimated.