Temporal sparsity exploiting nonlocal regularization for 4D computed tomography reconstruction

X-ray imaging applications in medical and material sciences are frequently limited by the number of tomographic projections collected. The inversion of the limited projection data is an ill-posed problem and needs regularization. Traditional spatial regularization is not well adapted to the dynamic...

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Detalles Bibliográficos
Autores principales: Kazantsev, Daniil, Guo, Enyu, Kaestner, Anders, Lionheart, William R. B., Bent, Julian, Withers, Philip J., Lee, Peter D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4929339/
https://www.ncbi.nlm.nih.gov/pubmed/27002902
http://dx.doi.org/10.3233/XST-160546

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4929339/
https://www.ncbi.nlm.nih.gov/pubmed/27002902
http://dx.doi.org/10.3233/XST-160546

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