Title :
Regularization in Fourier-Synthesis 2-D Image Reconstruction
Author :
Levitan, E. ; Degani, J. ; Zak, J.
Author_Institution :
Faculty of Medicine Technion-Israel Institute of Technology, Haifa, Israel
fDate :
6/1/1979 12:00:00 AM
Abstract :
A filtering procedure for computed tomography is formulated. It is derived from the general regularization theory and contains an adjustable regularization parameter. The latter can be found selfconsistently and corresponds to a given noise level. The method is illustrated by applying it to the reconstruction of phantoms in computer experiments.
Keywords :
Biomedical imaging; Computed tomography; Convolution; Filtering; Filters; Fourier transforms; Image reconstruction; Integral equations; Noise level; Physics;
Journal_Title :
Nuclear Science, IEEE Transactions on
DOI :
10.1109/TNS.1979.4330778
