DocumentCode
3667858
Title
Inter-subject variability of respiratory motion from 4D MRI
Author
Ashrani Aizzuddin Abd. Rahni;Emma Lewis;Kevin Wells
Author_Institution
Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
fYear
2015
fDate
5/1/2015 12:00:00 AM
Firstpage
93
Lastpage
97
Abstract
Respiratory motion affects image acquisition and also external beam radiotherapy (EBRT) treatment planning and delivery. Existing approaches for respiratory motion management are often based on a generic view of respiratory motion such as the general movement of organ, tissue or fiducials. This paper aims to present a more in depth analysis of respiratory motion based on 4D MRI, which can then be integrated into motion correction approaches in image acquisition or image based EBRT. In this paper we analyse the respiratory motion of organs for five volunteers on a per-organ basis, separately for each volunteer and together comparatively. We also compare with a separate study of respiratory motion for 20 patients. The motion extracted from 4D MRI on general was found to be consistent with what has been reported in literature and a similar process can be used in future to extract and quantify respiratory motion on a larger dataset.
Keywords
"Magnetic resonance imaging","Computed tomography","Motion segmentation","Lungs","Image segmentation","Liver"
Publisher
ieee
Conference_Titel
BioSignal Analysis, Processing and Systems (ICBAPS), 2015 International Conference on
Type
conf
DOI
10.1109/ICBAPS.2015.7292225
Filename
7292225
Link To Document