Title
Propagation of errors from the sensitivity image in list mode reconstruction.
Abstract
List mode image reconstruction is attracting renewed attention. It eliminates the storage of empty sinogram bins. However, a single back projection of all LORs is still necessary for the pre-calculation of a sensitivity image. Since the detection sensitivity is dependent on the object attenuation and detector efficiency, it must be computed for each study. Exact computation of the sensitivity image can be a daunting task for modern scanners with huge numbers of LORs. Thus, some fast approximate calculation may be desirable. In this paper, we analyze the error propagation from the sensitivity image into the reconstructed image. The theoretical analysis is based on the fixed point condition of the list mode reconstruction. The nonnegativity constraint is modeled using the Kuhn-Tucker condition. With certain assumptions and the first-order Taylor series approximation, we derive a closed form expression for the error in the reconstructed image as a function of the error in the sensitivity image. The result shows that the error response is frequency-dependent and provides a simple expression for determining the required accuracy of the sensitivity image calculation. Computer simulations show that the theoretical results are in good agreement with the measured results.
Year
DOI
Venue
2004
10.1109/TMI.2004.829333
IEEE Trans. Med. Imaging
Keywords
Field
DocType
error propagation,object attenuation,detector efficiency,image reconstruction,kuhn-tucker condition,sensitivity image,list mode image reconstruction,emission tomography,medical image processing,first order taylor series approximation,detection sensitivity,computer simulation,taylor series,fixed point,indexing terms,first order
Iterative reconstruction,Computer vision,Mathematical optimization,Propagation of uncertainty,Feature detection (computer vision),Computer science,Closed-form expression,Artificial intelligence,Fixed point,Detector,Computation,Taylor series
Journal
Volume
Issue
ISSN
23
9
0278-0062
ISBN
Citations 
PageRank 
0-7803-8257-9
2
0.54
References 
Authors
5
2
Name
Order
Citations
PageRank
Jinyi Qi128435.82
R H Huesman2549.34