Title :
Solving the attenuation problem in emission computed tomography using homomorphic filters
Author :
Chen, Lih-shyang
Author_Institution :
AT&T Bell Lab., Holmdel, NJ, USA
fDate :
4/1/1990 12:00:00 AM
Abstract :
An approach to the attenuation problem in positron emission computed tomography (PET) is discussed. The underlying idea of the method, in which a homomorphic system and an iterative convolution backprojection algorithm are employed, is described. The use of these two algorithms in the new algorithm is discussed. Results obtained with the algorithms are judged acceptable, with the reconstructed images of many different phantoms tested seeming to converge after several iterations
Keywords :
filtering and prediction theory; filters; picture processing; radioisotope scanning and imaging; PET; attenuation problem; homomorphic filters; homomorphic system; image reconstruction; iterative convolution backprojection algorithm; phantoms; positron emission computed tomography; Attenuation; Computed tomography; Convolution; Image reconstruction; Imaging phantoms; Iterative algorithms; Iterative methods; Positron emission tomography; Radioactive decay; Testing;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
