Speckle-constrained filtering of ultrasound images

Ultrasound images provide the clinician with non-invasive, low cost, and real-time images that can help them in diagnosis, planning 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...

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Bibliographic Details
Published in2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) Vol. 2; pp. 547 - 552 vol. 2
Main Authors Krissian, K., Kikinis, R., Westin, C.-F., Vosburgh, K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Anisotropic magnetoresistance
Biomedical imaging
Costs
Equations
Filtering
Image coding
Image restoration
Noise reduction
Speckle
Ultrasonic imaging
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Summary:Ultrasound images provide the clinician with non-invasive, low cost, and real-time images that can help them in diagnosis, planning 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 Ultrasound images. To this end, we use a previously derived model of the noise, and we write the restoration scheme as a energy minimization constrained by the noise model and parameters. This approach leads to a new data attachment term whose optimal weight can be automatically estimated.
ISBN:0769523722
9780769523729
ISSN:1063-6919
1063-6919
DOI:10.1109/CVPR.2005.331