Deblurring subject to nonnegativity constraints when known functions are present with application to object-constrained computerized tomography.
The reconstruction of tomographic images is often treated as a linear deblurring problem. When a high-density, man-made metal object is present somewhere in the image field, it is a deblurring problem in which the unknown function has a component that is known except for some location and orientation parameters. We first address general linear deblurring problems in which a known function having unknown parameters is present. We then show how the resulting iterative solution can be applied to tomographic imaging in the presence of man-made foreign objects, and we apply the result, in particular, to X-ray computed tomography imaging used in support of brachytherapy treatment of advanced cervical cancer.
Snyder
D L
DL
Department of Electrical Engineering, Washington University, St. Louis, MO 63130-4899, USA. dls@ee.wustl.edu
O'Sullivan
J A
JA
Whiting
B R
BR
Murphy
R J
RJ
Benac
J
J
Cataldo
J A
JA
Politte
D G
DG
Williamson
J F
JF
D016477:Artifacts; D001918:Brachytherapy; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D019047:Phantoms, Imaging; D014057:Tomography, X-Ray Computed / Q000379:methods*; D002583:Uterine Cervical Neoplasms / Q000000981:diagnostic imaging / Q000532:radiotherapy