DocumentCode :
1211193
Title :
Geometric Deconvolution: A Meta-Algorithm for Limited View Computed Tomography
Author :
Gordon, Richard ; Rangayyan, Rangaraj M.
Author_Institution :
Departments of Pathology, Radiology, Electrical Engineering, and Zoology, University of Manitoba
Issue :
12
fYear :
1983
Firstpage :
806
Lastpage :
810
Abstract :
Images reconstructed using a limited number of projections spanning a narrow angular range suffer from a systematic geometric distortion due to the two-dimensional point spread function of the reconstruction process. Applying the projection theorem, we show that the problem of removing this distortion reduces to that of estimating the one-dimensional spread function and deconvolving projections computed for a complementary set of new angles from the initial reconstruction. A second reconstruction is performed using the deconvolved projections along with the original set of projections, thus incorporating wider angular coverage. We present here initial results of such geometric deconvolution performed via inverse filtering using fast Fourier transform techniques. While the results are noisy due to well-known problems associated with inverse filtering, they illustrate the plausibility of the underlying ideas.
Keywords :
Biology computing; Computed tomography; Deconvolution; Distortion measurement; Filtering; Image reconstruction; Image resolution; Reconstruction algorithms; Testing; X-ray imaging; Biomedical Engineering; Mathematics; Tomography, X-Ray Computed;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.1983.325082
Filename :
4121558
Link To Document :
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