• Regularizing filtration of pro...

Result: Regularizing filtration of projections for two-dimensional tomography algorithms

Title:
Regularizing filtration of projections for two-dimensional tomography algorithms
Authors:
A. V. Likhachov
Source:
Numerical Analysis and Applications. 1:151-162
Publisher Information:
Pleiades Publishing Ltd, 2008.
Publication Year:
2008
Subject Terms:
0301 basic medicine, numerical examples, 0303 health sciences, 03 medical and health sciences, Biomedical imaging and signal processing, regularizing filters, regularizing algorithm, tomography, Numerical methods for integral transforms, Numerical methods for ill-posed problems for integral equations, Radon transform, discrepancy criterion
Document Type:
Academic journal Article
File Description:
application/xml
Language:
English
ISSN:
1995-4247
1995-4239
DOI:
10.1134/s1995423908020067
Access URL:
https://link.springer.com/content/pdf/10.1134/S1995423908020067.pdf
https://link.springer.com/article/10.1134/S1995423908020067
Rights:
Springer TDM
Accession Number:
edsair.doi.dedup.....f7aeb1fe8d1651a5310cd8b53977bd1d
Database:
OpenAIRE

Further Information

Summary: The regularizing filters for tomography algorithms are proposed and investigated. A method for determining the regularization parameter is developed on the basis of a residual criterion. Numerical simulations are carried out. In particular, the proposed filtration of projections is compared to the Shepp-Logan one.