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Characterisation of respiratory motion extracted from 4D MRI

Rahni, AAA, Lewis, E and Wells, K (2013) Characterisation of respiratory motion extracted from 4D MRI Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 8669.

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Abstract

Nuclear Medicine (NM) imaging is currently the most sensitive approach for functional imaging of the human body. However, in order to achieve high-resolution imaging, one of the factors degrading the detail or apparent resolution in the reconstructed image, namely respiratory motion, has to be overcome. All respiratory motion correction approaches depend on some assumption or estimate of respiratory motion. In this paper, the respiratory motion found from 4D MRI is analysed and characterised. The characteristics found are compared with previous studies and will be incorporated into the process of estimating respiratory motion. © 2013 SPIE.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
AuthorsEmailORCID
Rahni, AAAUNSPECIFIEDUNSPECIFIED
Lewis, EUNSPECIFIEDUNSPECIFIED
Wells, KUNSPECIFIEDUNSPECIFIED
Date : 2013
Identification Number : 10.1117/12.2006859
Additional Information : Copyright 2013 Proc. SPIE 8669, Medical Imaging 2013: Image Processing. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. Ashrani Aizzuddin Abd. Rahni, Emma Lewis and Kevin Wells, "Characterisation of respiratory motion extracted from 4D MRI", Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 86692Z (2013); doi:10.1117/12.2006859
Depositing User : Symplectic Elements
Date Deposited : 23 Jan 2014 15:35
Last Modified : 09 Jun 2014 13:50
URI: http://epubs.surrey.ac.uk/id/eprint/804793

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