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Updated: Jul 20, 2026

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
Published on: October 24, 2019
Deblurring subject to nonnegativity constraints when known functions are present with application to
D L Snyder1, J A O'Sullivan, B R Whiting
1Department of Electrical Engineering, Washington University, St. Louis, MO 63130-4899, USA. dls@ee.wustl.edu
Abstract:
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.
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