Name
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IEMBS.2011.6091983 | EMBC |
Keywords | Field | DocType |
diagnostic radiography,computerised tomography,parametric affine motion estimation,pneumodynamics,mass conservation model,motion estimation,global respiratory motion,sinogram,thoracic area,time-varying magnification,medical image processing,tomographic images,cross section,mass conservation,shearing,vectors,computer vision | Affine shape adaptation,Computer vision,Perpendicular,Linear motion,Motion field,Computer science,Parametric statistics,Artificial intelligence,Motion estimation,Conservation of mass,Affine geometry of curves | Conference |
Volume | ISSN | ISBN |
2011 | 1557-170X | 978-1-4244-4122-8 |
Citations | PageRank | References |
3 | 0.44 | 9 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammadreza Negahdar | 1 | 14 | 4.55 |
| Amir A. Amini | 2 | 443 | 63.30 |