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Noise reduction in spine videofluoroscopic images using the undecimated wavelet transform

Noise reduction in spine videofluoroscopic images using the undecimated wavelet transform
Noise reduction in spine videofluoroscopic images using the undecimated wavelet transform
Videofluoroscopy permits using sequences of low quality images to study the spine movement. In this work the problem of enhancing the quality of these images is considered in order to facilitate the extraction of kinematic parameters. The method is based on the undecimated wavelet transform and on a preliminary training of a sub-set of images. The anatomical features are preserved using a mask. Key element of the method is its fast and automated implementation. The concept of improving the extraction of kinematic parameters by improving the image representation instead of the technique to extract these is also innovative. The technique has been tested on two sequences of images and the results demonstrates that the method enhances images not related with training sub-set.
videofluoroscopy, spine, image denoising, undecimated wavelet transform, training
0895-6111
453-459
DeStefano, A.
b256bc7b-449f-422a-a1bf-4b46b63426da
Allen, R.
956a918f-278c-48ef-8e19-65aa463f199a
White, P.R.
2dd2477b-5aa9-42e2-9d19-0806d994eaba
DeStefano, A.
b256bc7b-449f-422a-a1bf-4b46b63426da
Allen, R.
956a918f-278c-48ef-8e19-65aa463f199a
White, P.R.
2dd2477b-5aa9-42e2-9d19-0806d994eaba

DeStefano, A., Allen, R. and White, P.R. (2004) Noise reduction in spine videofluoroscopic images using the undecimated wavelet transform. Computerized Medical Imaging and Graphics, 28 (8), 453-459. (doi:10.1016/j.compmedimag.2004.07.003).

Record type: Article

Abstract

Videofluoroscopy permits using sequences of low quality images to study the spine movement. In this work the problem of enhancing the quality of these images is considered in order to facilitate the extraction of kinematic parameters. The method is based on the undecimated wavelet transform and on a preliminary training of a sub-set of images. The anatomical features are preserved using a mask. Key element of the method is its fast and automated implementation. The concept of improving the extraction of kinematic parameters by improving the image representation instead of the technique to extract these is also innovative. The technique has been tested on two sequences of images and the results demonstrates that the method enhances images not related with training sub-set.

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More information

Published date: December 2004
Keywords: videofluoroscopy, spine, image denoising, undecimated wavelet transform, training

Identifiers

Local EPrints ID: 27983
URI: http://eprints.soton.ac.uk/id/eprint/27983
ISSN: 0895-6111
PURE UUID: 0fe127e8-0948-4548-a432-16fef92ff4ec
ORCID for P.R. White: ORCID iD orcid.org/0000-0002-4787-8713

Catalogue record

Date deposited: 02 May 2006
Last modified: 05 Nov 2019 02:07

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Contributors

Author: A. DeStefano
Author: R. Allen
Author: P.R. White ORCID iD

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