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Proceedings Paper

Characterisation of respiratory motion extracted from 4D MRI
Author(s): Ashrani Aizzuddin Abd. Rahni; Emma Lewis; Kevin Wells
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Paper 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.

Paper Details

Date Published: 13 March 2013
PDF: 6 pages
Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 86692Z (13 March 2013); doi: 10.1117/12.2006859
Show Author Affiliations
Ashrani Aizzuddin Abd. Rahni, Univ. Kebangsaan Malaysia (Malaysia)
Univ. of Surrey (United Kingdom)
Emma Lewis, Univ. of Surrey (United Kingdom)
Kevin Wells, Univ. of Surrey (United Kingdom)

Published in SPIE Proceedings Vol. 8669:
Medical Imaging 2013: Image Processing
Sebastien Ourselin; David R. Haynor, Editor(s)

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