DocumentCode :
1208089
Title :
The Use of Filtering Methods to Compensate for Constant Attenuation in Single-Photon Emission Computed Tomography
Author :
Gullberg, Grant T. ; Budinger, Thomas F.
Author_Institution :
Medical Systems Division, General Electric Company
Issue :
2
fYear :
1981
Firstpage :
142
Lastpage :
157
Abstract :
A back projection of filtered projection (BKFIL) reconstruction algorithm is presented that is applicable to single-photon emission computed tomography (ECT) in the presence of a constant attenuating medium such as the brain. The filters used in transmission computed tomography (TCT)-comprised of a ramp multiplied by window functions¿are modified so that the single-photon ECT filter is a function of the constant attenuation coefficient. The filters give good reconstruction results with sufficient angular and lateral sampling. With continuous samples the BKFIL algorithm has a point spread function that is the Hankel transform of the window function. The resolution and statistical properties of the filters are demonstrated by various simulations which assume an ideal detector response. Statistical formulas for the reconstructed image show that the square of the percent-root-mean-square (percent-rms) uncertainty of the reconstruction is inversely proportional to the total measured counts. The results indicate that constant attenuation can be compensated for by using an attenuation-dependent filter that reconstructs the transverse section reliably. Computer time requirements are two times that of conventional TCT or positron ECT and there is no increase in memory requirements.
Keywords :
Attenuation; Computed tomography; Detectors; Electrical capacitance tomography; Filtering; Filters; Image reconstruction; Image sampling; Positrons; Reconstruction algorithms; Filtration; Mathematics; Tomography, Emission-Computed;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.1981.324787
Filename :
4121177
Link To Document :
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