Characterisation of respiratory motion extracted from 4D MRI | Zendy

Ashrani Aizzuddin Abd. Rahni | Zendy; Emma Lewis | Zendy; Kevin Wells | Zendy

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Characterisation of respiratory motion extracted from 4D MRI

Author(s) -

Ashrani Aizzuddin Abd. Rahni,

Emma Lewis,

Kevin Wells

Publication year - 2013

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.2006859

Subject(s) - computer science , motion (physics) , computer vision , motion estimation , respiratory system , artificial intelligence , image resolution , image registration , medical imaging , image (mathematics) , medicine , anatomy

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. © 2013 SPIE

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