Characterisation of respiratory motion extracted from 4D MRI

Ashrani Aizzuddin Abd. Rahni; Emma Lewis; Kevin Wells

doi:10.1117/12.2006859

13 March 2013 Characterisation of respiratory motion extracted from 4D MRI

Ashrani Aizzuddin Abd. Rahni, Emma Lewis, Kevin Wells

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.

Citation Download Citation

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 (13 March 2013); https://doi.org/10.1117/12.2006859

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