Characterisation of respiratory motion extracted from 4D MRI

نویسندگان

  • Ashrani Aizzuddin Abd. Rahni
  • Emma Lewis
  • Kevin Wells
چکیده

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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تاریخ انتشار 2013