DocumentCode :
2371910
Title :
Projection processing for improved resolution and noise suppression of reconstructed images of computer tomography
Author :
Donohue, Kevin D. ; Bressler, John M. ; Bilgutay, Nihat M.
Author_Institution :
Dept. of Elecxtr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
fYear :
1989
fDate :
27-28 Mar 1989
Firstpage :
111
Lastpage :
112
Abstract :
A nonlinear digital filtering technique (median filtering) is suggested for processing the projections to reduce error without the distortion introduced by linear filtering. The rationale for the application of these filters is discussed. To compare the effectiveness of linear filtering and median filtering, computer simulations and further experiments are suggested. It is expected that median filters have potential to improve image quality beyond that of linear filtering, particularly for edge reproduction
Keywords :
computerised picture processing; computerised tomography; digital simulation; filtering and prediction theory; interference suppression; computer simulations; computer tomography; computerised picture processing; computerised tomography; edge reproduction; linear filtering; median filtering; noise suppression; nonlinear digital filtering; reconstructed images; Filtering; Frequency; Image reconstruction; Image resolution; Low pass filters; Maximum likelihood detection; Nonlinear filters; Projection algorithms; Signal to noise ratio; Tomography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioengineering Conference, 1989., Proceedings of the 1989 Fifteenth Annual Northeast
Conference_Location :
Boston, MA
Type :
conf
DOI :
10.1109/NEBC.1989.36725
Filename :
36725
Link To Document :
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