@inproceedings{3af6d4dd623343e1b4699ec6c72cab98,

title = "Joint estimation of image and deformation parameters in tomographic image reconstruction",

abstract = "We consider an emission tomography reconstruction problem in which projection measurements from several successive time frames are available. Two strategies for doing motion-corrected image reconstruction are compared. In the first strategy, separate images are reconstructed from the measurements at each time frame. They are then consolidated by post-registration and averaging procedures. In the second strategy, parameters to describe the effects of motion are added to the statistical model of the projections. Joint maximum likelihood estimation of image and motion parameters is then carried out.",

keywords = "Computer science, Cost function, Deformable models, Image reconstruction, Jacobian matrices, Maximum likelihood estimation, Motion estimation, Pixel, Time measurement, Tomography",

author = "Jacobson, {M. W.} and Fessler, {J. A.}",

note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; IEEE Workshop on Statistical Signal Processing, SSP 2003 ; Conference date: 28-09-2003 Through 01-10-2003",

year = "2003",

doi = "10.1109/SSP.2003.1289369",

language = "English (US)",

series = "IEEE Workshop on Statistical Signal Processing Proceedings",

publisher = "IEEE Computer Society",

pages = "162--165",

booktitle = "Proceedings of the 2003 IEEE Workshop on Statistical Signal Processing, SSP 2003",

}