Local convolution in ectomography

In tomographic imaging, using limited angular sampling, details outside the imaged section are displaced along circles of blur. In ectomography, these are eliminated by a spatial convolution process. It is shown that the convolution function has to be as long as the projected dimension of the imaged...

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Bibliographic Details
Published in:IEEE transactions on biomedical engineering 1989-09, Vol.36 (9), p.964-968
Main Authors: Dale, S.M., Edholm, P.R.
Format: Article
Language:English
Subjects:
Biological and medical sciences
Computer simulation
Convolution
Filters
Filtration
Frequency
Image Processing, Computer-Assisted - methods
Image reconstruction
Image sampling
Investigative techniques, diagnostic techniques (general aspects)
Mathematical Computing
Medical sciences
Miscellaneous. Technology
Nuclear medicine
Radionuclide investigations
Shape
Tomography
Tomography, X-Ray Computed - methods
Citations: Items that this one cites
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Description
Summary:In tomographic imaging, using limited angular sampling, details outside the imaged section are displaced along circles of blur. In ectomography, these are eliminated by a spatial convolution process. It is shown that the convolution function has to be as long as the projected dimension of the imaged object perpendicular to the section and twice the dimension parallel to the section.< >
ISSN:0018-9294
1558-2531
DOI:10.1109/10.35305