13 March 2013 Characterisation of respiratory motion extracted from 4D MRI
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Proceedings Volume 8669, Medical Imaging 2013: Image Processing; 86692Z (2013) https://doi.org/10.1117/12.2006859
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States
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.
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Ashrani Aizzuddin Abd. Rahni, Ashrani Aizzuddin Abd. Rahni, Emma Lewis, Emma Lewis, Kevin Wells, Kevin Wells, } "Characterisation of respiratory motion extracted from 4D MRI", Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 86692Z (13 March 2013); doi: 10.1117/12.2006859; https://doi.org/10.1117/12.2006859
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