Title :
Estimation of affine motion from projection data using a mass conservation model
Author :
Negahdar, Mohammadreza ; Amini, Amir A.
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. of Louisville, Louisville, KY, USA
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
An approximate model for the effect of respiration is that the cross section of the thoracic area under interrogation experience time-varying magnification and displacement along two perpendicular axes - we propose to model this motion as parametric affine motion. A theoretical framework for determination of parameters of affine motion modeling the global respiratory motion based on the sinogram data in the projection domain is described. It is assumed that the spatial image considered is a density image where conservation of mass holds.
Keywords :
computerised tomography; diagnostic radiography; medical image processing; motion estimation; pneumodynamics; global respiratory motion; mass conservation model; parametric affine motion estimation; sinogram; thoracic area; time-varying magnification; tomographic images; Computer vision; Equations; Image sequences; Motion estimation; Shearing; Transforms; Vectors; Algorithms; Color; Humans; Models, Theoretical; Motion; Respiration; Thorax;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6091983
