A Computationally Efficient Reconstruction Algorithm for Circular Cone-Beam Computed Tomography Using Shallow Neural Networks

Circular cone-beam (CCB) Computed Tomography (CT) has become an integral part of industrial quality control, materials science and medical imaging. The need to acquire and process each scan in a short time naturally leads to trade-offs between speed and reconstruction quality, creating a need for fa...

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Detalles Bibliográficos
Autores principales: Lagerwerf, Marinus J., Pelt, Daniël M., Palenstijn, Willem Jan, Batenburg, Kees Joost
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321184/
https://www.ncbi.nlm.nih.gov/pubmed/34460532
http://dx.doi.org/10.3390/jimaging6120135

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321184/
https://www.ncbi.nlm.nih.gov/pubmed/34460532
http://dx.doi.org/10.3390/jimaging6120135

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